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SOC 19-3092 · O*NET 19-3092.00
Geographers correspond to U.S. O*NET/SOC 19-3092.00, “Geographers”: they study the nature and use of areas of the Earth's surface, relating and interpreting interactions between physical and cultural phenomena. They study an area's physical aspects (landforms, climate, soils, plants and animals), the spatial effects of human activities within particular areas (social characteristics, economic activities and political organization), and interdependencies between areas from local to global scales. Core work includes collecting and compiling geographic data from censuses, field observations, satellite imagery, aerial photographs and existing maps; analyzing the geographic distribution of physical and cultural phenomena at multiple scales; studying the economic, political and cultural characteristics of populations in particular areas; creating and modifying maps, charts and diagrams using geographic information software and cartographic principles; developing, operating and maintaining geographic information computer systems and locating and obtaining existing geographic information databases; writing and presenting research reports and providing geographic information system support to the private and public sectors; and consulting on resource development and management, business location, market-area analysis, environmental hazards, and urban and social planning. Original official scope: Study the nature and use of areas of the Earth's surface, relating and interpreting interactions of physical and cultural phenomena. Wage and employment coverage: wages use O*NET's 2025 OEWS figures for this exact occupation; 2025–2035 employment projections come directly from BLS Table 1.2 (O*NET currently still displays the older period). Employment is very small and projected to decline slightly.
Model impact index for three equally weighted representative core tasks; not a measured share of working time or a job-loss probability. floor((50+75+75)/3+0.5)=67; fermatmind-ai-impact-v1; 2026-10-18.
Responsibility observation | In G1, record how you calculate, identify boundaries from different years, list unknown coordinate information and limitations, retain original values and actual times, and draft a handover awaiting confirmation. The three tables describe only this learning exercise, not long-term fit, formal research or authorization. Occupational judgments also require sustained courses, projects and actual role conditions.
Reasons for caution | O*NET also shows (19-3092.00): prolonged sitting 60% reporting more than half the time; typical workweeks 55% reporting more than 40 hours; importance of being exact or highly accurate 30% reporting extremely important and 35% very important; time pressure 45% reporting weekly or more often but not daily; competition 50% reporting moderate competition; public speaking 45% reporting yearly or more often but not monthly; dealing with external customers or the public 45% reporting important; and coordinating or leading others 55% reporting important. U.S. employment in this occupation is very small (approximately 1,500 people in 2025), with a projected −2.1% in 2025–2035 (a slight decline). Total jobs and new opportunities are limited, and academic and government roles often depend on project cycles and funding. This occupation works with spatial data and research or application conclusions. A single error in data definitions, boundaries or projections, a mismatch between statistical coverage and conclusions, or inappropriate external provision of controlled or personal information data can make conclusions unusable and cause consequences. Processing citizens' personal information and controlled geographic information is also subject to applicable laws and competent authority requirements. If you struggle to work with data, literature and definitional details over the long term, accept uncertainty from funding and project cycles, or take responsibility for reliable conclusions and data compliance, treat these as practical costs requiring careful consideration.
Occupational profile | This page's geographers correspond to U.S. SOC 19-3092.00 (O*NET updated 2026). They undertake research, analysis or applied work in government agencies, universities, research organizations, geographic information and planning consultancies, and consulting and service settings. They design collection and compilation of geographic data from censuses, field observations, satellite imagery, aerial photographs and existing maps according to questions and methods; analyze the geographic distribution of physical and cultural phenomena at local, regional, continental or global scales and study the economic, political and cultural characteristics of regional populations; create and modify maps, charts and diagrams using geographic information software, related equipment and cartographic principles; develop, operate and maintain geographic information computer systems with data ingestion, metadata and version management; write and present research reports and provide geographic information system support to the private and public sectors; and consult on resource development and management, business location, market-area analysis, environmental hazards, regional cultural history, and urban and social planning. ONet's 2024 industry distribution shows government 79% and education 12%; the remaining 9% is only an arithmetic remainder. OOH's 2025 figures use another classification: federal government 64% (excluding postal services), education 13%, state government 10% (excluding education and hospitals), and professional, scientific and technical services 6%. Do not mix the two periods and classifications. Direct BLS Table 1.2: employment in this occupation 19-3092 in both 2025 and 2035 is rounded to approximately 1,500 people, with a change of −2.1%. Rounded endpoints cannot establish zero net change or an exact number of people lost. Average annual openings of approximately 100 in 2025–2035 are explained by OOH as entirely replacement needs from occupational transfers or exits from the labor force, not net new jobs or current vacancies. The self-employed share is shown as unavailable and cannot be treated as 0.
Career direction comparison
Introduction | The following comparison uses four columns: career direction, core work and outputs, key differences, and choices that may be a better fit. Geographic research, geographic information, cartography, surveying, statistics and data analysis often connect within a project or organization, but connection does not imply interchangeability. When choosing another direction, learn its methods, data definitions, authorization and responsibility boundaries anew.
| Career directions | Core work and outputs | Key differences | Which choices are a better fit |
|---|---|---|---|
| This occupation: geographers (19-3092.00) | Core work and outputs: collect and compile geographic data from censuses, field observations, satellite imagery, aerial photographs and existing maps; analyze the geographic distribution of physical and cultural phenomena at local, regional, continental or global scales; study the economic, political and cultural characteristics of populations in particular areas; create and modify maps, charts and diagrams using geographic information software and cartographic principles; maintain geographic information databases and locate and obtain existing databases; write and present research reports and provide geographic information system support. Outputs comprise research or analysis conclusions, data products, thematic maps and reports (U.S. SOC 19-3092.00). |
AI's impacts on occupations
Insufficient evidence: no separate generative AI exposure level, adoption rate, or causal wage or employment effect has been obtained for this occupation. ONet work activities—analysis 90, computers 89, information processing 88, getting information 86 and interpretation 80—provide task context, not a basis for medium or high exposure. Among unique U.S. job advertisements linked by ONet to this occupation from month 1, day 1 to month 12, day 31 in 2025, ArcGIS72%, Python38%, SQL25% and AutoCAD18% are listed; the other 10 entries are NA. The denominator is linked, deduplicated advertisements, not worker usage, AI adoption, ability scores or uniform entry conditions. Searches, cleaning suggestions, code, mapping and text drafts can be trialed in authorized environments, with effects verified through actual correctness, time and review costs. Responsibilities still follow project and jurisdictional arrangements. Direct BLS Table 1.2: employment in this occupation 19-3092 in both 2025 and 2035 is rounded to approximately 1,500 people, with a change of −2.1%. Rounded endpoints cannot establish zero net change or an exact number of people lost. Average annual openings of approximately 100 in 2025–2035 are explained by OOH as entirely replacement needs from occupational transfers or exits from the labor force, not net new jobs or current vacancies. The self-employed share is shown as unavailable and cannot be treated as 0. AI Impact Score 67% is an editorial estimate. Model impact index for three equally weighted representative core tasks; not a measured share of working time or a job-loss probability. floor((50+75+75)/3+0.5)=67; fermatmind-ai-impact-v1; 2026-10-18.The three tasks, ratings and sources are listed in the FermatMind method source record on this page.
FermatMind AI Impact Score estimation method v1
Mainland China pay reference
Classification comparison | U.S. SOC 19-3092.00 is “Geographers” within life, physical and social science occupations. It differs in objects and authorization levels from geographic information technicians, cartographers and photogrammetrists (17-1021.00), geodetic surveyors (17-1022.01), statisticians (15-2041.00) and data scientists (15-2051.00). International occupational classifications such as ISCO-08 only indicate broad positions of geography and geographic information roles; they do not replace U.S. SOC or mainland Chinese disciplinary, occupational and statistical classifications. Mainland Chinese role boundaries defined by the Surveying and Mapping Law, statistical systems and personal information protection requirements do not correspond exactly one-to-one with this page's U.S. occupation. Statistical coverage and legal environments differ; no numerical conversion is made.
Occupational definition | This page's geographers correspond to U.S. SOC 19-3092.00, “Geographers.” Their official scope is to study the nature and use of areas of the Earth's surface, relating and interpreting interactions between physical and cultural phenomena; study an area's physical aspects (landforms, climate, soils, plants and animals) and the spatial effects of human activities within particular areas (social characteristics, economic activities and political organization); and study interdependencies between areas from local to global scales. Core tasks include creating and modifying maps, charts and diagrams using geographic information software, related equipment and cartographic principles; collecting and compiling geographic data from censuses, field observations, satellite imagery, aerial photographs and existing maps; teaching geography; writing and presenting research reports; providing geographic information system support to the private and public sectors; studying the economic, political and cultural characteristics of populations in particular areas; analyzing the geographic distribution of physical and cultural phenomena at multiple scales; developing, operating and maintaining geographic information computer systems; locating and obtaining existing geographic information databases; collecting physical-characteristic data using surveying or meteorological equipment; conducting fieldwork at outdoor sites; and consulting on resource development and management, business location, environmental hazards and related fields. Outputs comprise research or analysis conclusions, data products, thematic maps and reports. These descriptions use U.S. coverage; see this page's separate explanations of mainland Chinese data, surveying and mapping, ethics management and statistical coverage.
U.S. pay reference
Direct answer | U.S. 2025 wages for this occupation (19-3092.00): median hourly wage 49.06 U.S. dollars and median annual wage 102,040 U.S. dollars. Annual wage distribution: 10th percentile 66,770 U.S. dollars, 25th percentile 80,290, 75th percentile 121,870, and 90th percentile 136,660 (2025 OEWS, O*NET national wage page for this occupation). Employment and growth cover the same occupation, with scale important: approximately 1,500 employed (2025 base year, very small base), approximately 1,500 projected in 2035 (change −2.1%, slight decline), and approximately 100 average annual openings over the period, from replacement needs. Although coverage is exact for this occupation, employment is small and projected to decline slightly, so absolute job numbers are limited. Existing wage distributions do not estimate earnings effects of education, experience or direction. The median is not starting pay. OEWS includes commissions, production bonuses and some allowances, excludes overtime premiums, nonproduction bonuses, stock bonuses and employer benefit costs, and excludes self-employed earnings.
| Position in wage statistics | Annual wage reference | Conversion boundary | How to interpret this position |
|---|---|---|---|
| Bottom 10% | 10th percentile annual wage: 66,770 U.S. dollars (2025, BLS OEWS, 19-3092.00) | Official annual wages, not individual monthly income |
Career fit guide
Direct answer | Interests and assessment scores cannot determine competence. Start with this page's G1 paper exercise, recording actual calculation, definitional judgment and handover performance, then consider courses, sustained project practice and role requirements. A single exercise only provides learning leads.
You may be better suited if： Signs of fit: willingness to take responsibility for data and analysis conclusions within data, method and authorization requirements; ability to work rigorously with spatial data, literature, numbers and writing over the long term; and ability to maintain definitional and quality checks under funding and project pressure, reporting anomalies or matters beyond authority according to procedures.
Situations requiring caution： Reasons for caution: difficulty working with data, literature and definitional details over the long term; difficulty accepting job-stability differences caused by funding and project cycles; or unwillingness to report and hand over according to procedures when authority is exceeded.
Try an entry exercise： Use this page's three G1 paper drafts to observe calculation, definitional checking and handover performance in this exercise. Compare your work with reference results and record errors and training needs, then keep observing through sustained courses and projects. Do not treat one task as proof of long-term fit or authorization.
Work pressures, risks and professional boundaries
Risk examples include inconsistent definitions, uncontrolled original records or versions, unauthorized data provision, issuing deliverables beyond authority and interruptions to collaboration. This is not a ranking of incidence or consequences. First check sources, years, boundaries and methods and record reviews. Data classification and activity scope determine applicable rules; pause the affected stage and obtain supporting evidence for anomalies according to actual procedures.
Evidence scope | This page draws on O*NET 19-3092.00 tasks and work context (creating and modifying maps, charts and diagrams 84; collecting and compiling geographic data 79; teaching geography 79; writing and presenting research reports 78; providing geographic information system support to the private and public sectors 73; studying regional population characteristics 71; analyzing the geographic distribution of physical and cultural phenomena 71; maintaining geographic information computer systems 70; locating and obtaining existing geographic information databases 70; analyzing data or information 90; working with computers 89; processing information 88; getting information 86; updating and using relevant knowledge 81; interpreting the meaning of information for others 80; email 90% daily; controlled indoor environments 75% daily; prolonged sitting 60% more than half the time; importance of being exact or highly accurate 30% extremely important and 35% very important; time pressure 45% weekly or more often but not daily; competition 50% moderate). Data, deliverable and ethics management requirements refer to data protection, surveying and mapping deliverable, statistical and ethics management rules. Wage and employment figures use exact occupational coverage, but the base is small and a slight decline is projected; they serve only as background, not for risk assessment.
Entry, qualifications and career development
Editorial suggestion | Study geography, GIS, statistics and writing for the target role, recording data, methods and reviews in courses and lawful projects. U.S. BLS lists typical entry as a bachelor's degree; some research roles require a master's or doctorate and related experience. Some employers may accept experience or GIS capabilities instead of advanced degrees; there is no uniform complete sequence. In China, check actual recruitment and activity scope. Distinguish education, certifications, projects and data-publication authorization; none guarantees long-term development.
Career prospects and transitions to related occupations
Direct answer | U.S. coverage: this occupation (19-3092.00) has a 2025 median hourly wage of 49.06 U.S. dollars and median annual wage of 102,040 U.S. dollars; annual wages are 66,770 U.S. dollars at the 10th percentile, 80,290 at the 25th, 121,870 at the 75th, and 136,660 at the 90th (2025 OEWS, O*NET national wage page for this exact occupation). Employment and growth cover the same occupation, with scale important: approximately 1,500 employed (2025 base year, very small base), approximately 1,500 projected in 2035 (change −2.1%, slight decline), and approximately 100 average annual openings over the period, from replacement needs. Employment is small and projected to decline slightly, so absolute job numbers are limited; these figures also do not represent individual employment outcomes. Mainland China: sources consulted for this page do not provide a national occupational wage distribution exactly corresponding to this occupation. Under evidence policy, this page only records statistical coverage and gaps without proxy figures.
United States · SOC19-3092, direct BLS Table 1.2 projections for 2025–2035
This page's geographers correspond to U.S. SOC 19-3092.00: studying the nature and use of areas of the Earth's surface, relating and interpreting interactions between physical and cultural phenomena; studying an area's physical aspects (landforms, climate, soils, plants and animals) and the spatial effects of human activities within particular areas; and studying interdependencies between areas from local to global scales. Core work includes collecting and compiling geographic data from censuses, field observations, satellite imagery, aerial photographs and existing maps; analyzing the geographic distribution of physical and cultural phenomena at local, regional, continental or global scales; studying the economic, political and cultural characteristics of populations in particular areas; creating and modifying maps, charts and diagrams using geographic information software and cartographic principles; maintaining geographic information computer systems and locating and obtaining existing databases; writing and presenting research reports and providing geographic information system support to the private and public sectors; and consulting on resource development and management, business location, market-area analysis, environmental hazards, and urban and social planning. ONet's 2024 figures show government 79% and education 12%; the remaining 9% is only an arithmetic remainder.
Choose a real task from this page for a small practice project or a conversation with someone in the field. Use the planning guides to set a date, an output and feedback questions before deciding whether to continue.
Signs of fit | Work-activity importance for U.S. O*NET 19-3092.00 shows that analyzing data or information (90), working with computers (89), processing information (88), getting information (86), updating and using relevant knowledge (81), interpreting the meaning of information for others (80), documenting and recording information (78), communicating with supervisors, peers or subordinates (75), and thinking creatively (75) are the occupation's most important activities. Work context shows email 90% daily, controlled indoor environments 75% daily, determining tasks, priorities and goals 55% reporting a lot of freedom, freedom to make decisions 50% reporting a lot of freedom, typical workweeks 55% reporting more than 40 hours, telephone conversations 75% reporting weekly or more often but not daily, prolonged sitting 60% reporting more than half the time, importance of being exact or highly accurate 30% reporting extremely important and 35% very important, and working in or contributing to a team 50% reporting very important. If you are willing to work with spatial data, maps and analysis over the long term, examine literature as well as data and definitions for a research or application question, and clearly document methods, limitations and uncertainty, this occupation's daily requirements are closer to your working style.
This checklist only supports self-questioning. It is not a hiring standard, ability score or assessment of job competence, and offers no opinions on further education, professional titles, practice or research ethics. This page corresponds to U.S. O*NET/SOC 19-3092.00, “Geographers” (the fixed Chinese index title translates as “Geographers”; common recruitment and industry titles include geographer, geographic information coordinator, Earth observation scientist and geographic information physical scientist). The official scope is to study the nature and use of areas of the Earth's surface, relating and interpreting interactions between physical and cultural phenomena; study an area's physical aspects (landforms, climate, soils, plants and animals) and the spatial effects of human activities within particular areas (social characteristics, economic activities and political organization); and study interdependencies between areas from local to global scales. O*NET's core tasks include creating and modifying maps, charts and diagrams using geographic information software and related equipment and cartographic principles such as coordinate systems, latitude and longitude, elevation, terrain and scale (importance 84); collecting and compiling geographic data from censuses, field observations, satellite imagery, aerial photographs and existing maps (79); teaching geography (79); writing and presenting research reports (78); providing geographic information system support to the private and public sectors (73); studying the economic, political and cultural characteristics of populations in particular areas (71); analyzing the geographic distribution of physical and cultural phenomena at local, regional, continental or global scales (71); developing, operating and maintaining geographic information computer systems, including hardware, software, plotters, digitizers, printers and cameras (70); locating and obtaining existing geographic information databases (70); collecting data on an area's physical characteristics, including geological formations, climate and vegetation, using surveying or meteorological equipment (67); conducting fieldwork at outdoor sites (65); and consulting on resource development and management, business location, market-area analysis, environmental hazards, regional cultural history, and urban and social planning (55). Work is characterized by email (90% daily), work in controlled indoor environments (75% daily), substantial freedom to determine tasks, priorities and goals (55% report a lot of freedom), freedom to make decisions (50% report a lot of freedom), and typical workweeks exceeding 40 hours (55%). ONet's 2024 industry distribution shows government 79% and education 12%; the remaining 9% is only an arithmetic remainder. OOH's 2025 figures use another classification: federal government 64% (excluding postal services), education 13%, state government 10% (excluding education and hospitals), and professional, scientific and technical services 6%. Do not mix the two periods and classifications.
Paper learning observation | Complete the full G1 exercise (M1–M6) in the path section; this page provides all data, formulas, reference results and handover deadlines. Use pen and paper to deliver calculation, coverage-discrepancy and handover tables in 60 minutes. Recalculate population densities 500/800, the whole-area value 600, and service points per thousand residents 6/5. Do not fabricate missing information about coordinates, mixed boundaries, equity or requests for real household data. No equipment or expert is required; do not conduct real research or send materials externally. Record only this learning performance.
Direct answer | This page's geographers correspond to U.S. SOC 19-3092.00. Work can be divided into: (one) data collection and compilation—collecting and compiling geographic data from censuses, field observations, satellite imagery, aerial photographs and existing maps, locating and obtaining existing geographic information databases, and recording sources, definitions and accuracy; (two) spatial analysis and research—analyzing the geographic distribution of physical and cultural phenomena at local, regional, continental or global scales and studying the economic, political and cultural characteristics of populations in particular areas; (three) cartography and visualization—creating and modifying maps, charts and diagrams using geographic information software, related equipment and cartographic principles such as coordinate systems, latitude and longitude, elevation, terrain and scale; (four) systems and databases—developing, operating and maintaining geographic information computer systems, including hardware, software, plotters, digitizers, printers and cameras, with data ingestion, metadata and version management; (five) deliverables and teaching—writing and presenting research reports, undertaking teaching and training as required by the role, and providing geographic information system support to the private and public sectors; and (six) consulting and applications—consulting on resource development and management, business location, market-area analysis, environmental hazards, regional cultural history, and urban and social planning. The work cycle connects research or application questions and data-definition confirmation, data collection and compilation, coordinate and quality control, spatial analysis and mapping, explanations of results, limitations and uncertainty, and review, publication or delivery, and archiving. This page does not conflate this occupation with adjacent geographic information technicians, cartographers and photogrammetrists, geodetic surveyors, statisticians or data scientists, or expand research and analysis responsibilities into administrative, legal or ethical conclusions.
Research and recording explanation | Start with a research or application question and confirmation of data definitions. Check data years, boundary definitions, coordinate systems, projections, statistical coverage and disclosure scope according to disciplinary and project requirements, completing data-source and study design before collection and analysis. Record data sources, versions and accuracy, and retain intermediate results and processing scripts. Check topology, coordinates, definitions and reproducibility of results, and explain uncertainty. Manage citizens' personal information and controlled geographic information under applicable laws and competent authority requirements. Ethical review, external publication of conclusions and their use for decisions require confirmation by the appropriate roles or organizations. Record important judgments, results and changes so supervisors and peers can review them.
Boundary conclusion | This page corresponds to U.S. SOC 19-3092.00. Core differences from adjacent roles concern objects, scales, outputs and levels of authorization. This occupation studies and explains the distribution of regional and spatial phenomena and interactions between human and physical phenomena, producing research or analysis conclusions, data products, thematic maps and reports. Geographic information technicians (15-1299 series and interdisciplinary geographic information roles) focus on spatial data management, systems, mapping, and operation and maintenance; cartographers and photogrammetrists (17-1021.00) focus on map design, image processing and photogrammetric computations; geodetic surveyors (17-1022.01) focus on Earth reference frameworks, control networks, datums, coordinates and elevations; statisticians (15-2041.00) focus on sampling, experimental design and statistical inference; and data scientists (15-2051.00) focus on machine learning, data modeling and data products. Objects and authorization levels differ; authority to provide data, publish deliverables or make ethical conclusions cannot be carried across roles.
| Dimension | Main directions | Comparison direction |
|---|---|---|
| Core purpose | This occupation's core purpose | Study areas of the Earth's surface, spatial phenomena and interactions between human and physical phenomena, completing research and analysis within data, compliance and ethics requirements. Design collection and compilation of geographic data according to questions and methods, perform spatial analysis, statistics and mapping, clearly document results, limitations and uncertainty, maintain geographic information databases and metadata, publish or deliver outputs within authorization, and archive data and methods so conclusions are verifiable, definitions traceable and boundaries explainable. |
Collect and compile geographic data from censuses, field observations, satellite imagery, aerial photographs and existing maps, recording sources, definitions and accuracy.
Analyze the geographic distribution of physical and cultural phenomena at local, regional, continental or global scales and study the economic, political and cultural characteristics of populations in particular areas.
Create and modify maps, charts and diagrams using geographic information software, related equipment and cartographic principles such as coordinate systems, latitude and longitude, elevation, terrain and scale.
Develop, operate and maintain geographic information computer systems, including hardware, software, plotters, digitizers, printers and cameras, and locate and obtain existing geographic information databases.
Write and present research reports and data product explanations, and undertake teaching, training and knowledge-sharing tasks as required by the role.
Provide consulting and geographic information system support in resource development and management, business location, market-area analysis, environmental hazards, regional cultural history, and urban and social planning.
Pre-employment checking explanation | The following six items support item-by-item checks before applying and starting work, avoiding inference of actual duties and authority from titles or promotional language. Base findings on written recruitment information, employment contracts, role descriptions and data and ethics procedure documents, and keep confirming them after starting. This page only lists checking directions, not any organization's or project's formal conditions checklist. Special note: this occupation often involves data sources and definitions, controlled or personal information data and external publication. Confirm the role's specific authority requirements for data acquisition, use, publication, confidentiality and ethical review.
Checking essentials | Similar job titles can have very different duties and authority. Some focus on research and analysis, others on geographic information systems and data engineering, planning and policy support, cartography and visualization, teaching and public science communication, or project management and consulting. Authorization for data acquisition, use, publication, confidentiality and ethics also differs by organization and jurisdiction.
| Key difference: geographers emphasize research and explanation of regional phenomena and interactions between physical and human phenomena. Adjacent roles focus on GIS, maps and imagery, surveying datums, statistics or model products. Research, analysis and system maintenance can overlap. Project responsibilities follow actual roles and authorization; occupational titles do not exclude others' research responsibilities. |
| Better suited to people willing to work with spatial data, maps and analysis over the long term, with sustained interest in regional, human and physical phenomena, who can repeatedly check data definitions against research questions and clearly document limitations. |
| Geographic Information Systems Technologists and Technicians | Core work and outputs: build and maintain spatial databases and data models; perform spatial queries, overlay, network and statistical analysis and mapping; support business, planning and decision applications; and maintain systems, accounts and access rights. Outputs comprise spatial datasets, databases, thematic maps and system operation and maintenance records. | Key difference: GIS technicians 15-1299.02 focus on spatial databases, applications, user support and spatial analysis. Geographers study regional phenomena and can also develop, operate and maintain GIS systems; tasks overlap. | Better suited to people interested in spatial data management, analysis, systems and mapping applications; this occupation emphasizes research or application questions, data sources and analysis conclusions. |
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| Cartographers and Photogrammetrists (17-1021.00) | Core work and outputs: process aerial and satellite imagery, perform photogrammetric computations and three-dimensional reconstruction, design map symbols and layouts, compile maps and thematic maps, and maintain geographic visualization products. Outputs comprise maps, image deliverables and photogrammetric reports. | Key difference: cartographers and photogrammetrists work with map design, layout, image processing, photogrammetric computations and three-dimensional reconstruction, producing maps and image deliverables. This occupation focuses on data and analysis conclusions; maps and visualization are usually one means of expression rather than the sole output. | Better suited to people interested in map design, image processing and visualization; this occupation emphasizes data sources, analysis questions, conclusions and explanations. |
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| Geodetic Surveyors (17-1022.01) | Core work and outputs: design control networks and observation plans according to datums and standards; survey large areas of the Earth's surface using satellite observations, GNSS, LIDAR, leveling and other techniques; calculate precise horizontal and vertical point positions, perform adjustment and accuracy assessment; and maintain coordinate and quality databases. Outputs comprise control deliverables, coordinates, elevations, databases and quality explanations. | Key difference: geodetic surveyors work with Earth reference frameworks, control networks, datum transformations, coordinates and elevations, producing control deliverables, coordinates, elevations, databases and quality explanations. This occupation usually uses control and coordinate deliverables as an input and does not take responsibility for datums or issuing those deliverables. | Better suited to people interested in high-accuracy observations, control, datums and coordinate calculations; this occupation emphasizes data compilation, spatial analysis and explanation. |
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| Statisticians (15-2041.00) | Core work and outputs: design sampling, experimental or observational studies; select statistical models; perform estimation, testing, interval and uncertainty analysis; review data quality and assumptions; and explain results. Outputs comprise statistical designs, inference conclusions and uncertainty explanations. | Key difference: statisticians emphasize statistical theory, sampling, models and uncertainty, while geographers focus more on spatial phenomena and regional context. Both can design studies and use statistical methods; titles cannot exclude research design responsibilities in this occupation. | Better suited to people interested in methodological design, statistical inference and uncertainty analysis; this occupation emphasizes spatial phenomena, data compilation and explanations of geographic mechanisms. |
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| Data Scientists (15-2051.00) | Core work and outputs: clean and integrate data, engineer features, model and validate, evaluate model performance, deploy and monitor data products, and explain results to business stakeholders. Outputs comprise models, assessments and data product reports. | Key difference: data scientists work with machine learning, feature engineering, model evaluation, deployment and data products, producing models and data products. This occupation also uses programming and data methods but focuses on questions, mechanisms, conclusions and explanations, with modeling, algorithms and engineering deployment not its main outputs. | Better suited to people interested in machine learning, data products and engineering implementation; this occupation emphasizes data compilation, analysis and explanation for spatial questions. |
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Conclusion | Core differences between this occupation (U.S. SOC 19-3092.00, geographers) and adjacent roles concern objects, scales, outputs and levels of authorization. This occupation studies and explains the distribution of regional and spatial phenomena and interactions between human and physical phenomena, producing research or analysis conclusions, data products, thematic maps and reports. Geographic information technicians focus on spatial data management, systems, mapping, and operation and maintenance; cartographers and photogrammetrists (17-1021.00) focus on map design, image processing and photogrammetric computations; geodetic surveyors (17-1022.01) focus on Earth reference frameworks, control networks, datums, coordinates and elevations; statisticians (15-2041.00) focus on sampling, experimental design and statistical inference; and data scientists (15-2051.00) focus on machine learning, data modeling and data products. Objects and authorization levels differ; authority to provide data, publish deliverables or make ethical conclusions cannot be carried across roles.
Transition | This page places adjacent roles side by side according to objects, scales, outputs and levels of authorization, helping you judge which kind of research, data, spatial, statistical or engineering role you want to pursue over the long term. In any direction, actual readiness depends on its methods, data definitions and authorization requirements, the ability to clearly record data sources, analysis processes and limitations, and willingness to take responsibility for reliable conclusions, data compliance and clients' or the public's rights and interests. Interest questionnaires only raise questions.
FermatMind / 费马测试 · 2026-10-18
Editorial ratings use the existing occupational responsibilities and AI task analysis on this page. They are not adoption rates, measured effects, job-disappearance or personal-unemployment probabilities, or official scores from Stanford or another external institution. No measured time weights or future robot deployment are assumed.
Technical feasibility: a task may be technically affected by tools. This is only a feasibility judgment, not permission to use them or evidence of organizational adoption.
Organizational and regulatory adoption: introduction depends on disclosure, confidentiality, personal information and ethics requirements and organizational methodological standards. Research or analysis conclusions and responsibilities cannot be transferred by introducing tools.
Separate task changes from job outcomes. The latest projection of −2.1% cannot be attributed to AI; individual hiring depends on actual position conditions.
| Work directions | Tasks | Current changes | Human control points |
|---|---|---|---|
| Define research or application questions and check data years, boundaries, coordinates and statistical coverage. | Question and data-definition confirmation | Searches and summaries can be assisted; humans judge definitions. | You and project-responsible roles confirm questions and definitions. |
| Collect and compile geographic data from censuses, field observations, satellite imagery, aerial photographs and existing maps. | Data collection and compilation | Format conversion and data retrieval can be assisted; humans judge sources and accuracy. | You handle sources, accuracy and metadata according to methods. |
| Check coordinates, projections, topology, outliers and reproducibility. | Quality control and coordinate processing | Batch validation can be assisted; humans interpret definitions and bias. | You make quality judgments. |
| Analyze distributions of physical and cultural phenomena at multiple scales and perform statistical analysis. | Spatial analysis and statistics | Calculations and parameter sweeps can be assisted; humans explain models and mechanisms. | You judge methods and results. |
| Create and modify maps, charts and diagrams using geographic information software and cartographic principles. | Cartography and visualization | Layout and drafts can be assisted; humans are responsible for presentation and definitions. | You are responsible for accuracy of presentation. |
| Write and present research reports, explaining methods, limitations and uncertainty. | Writing and explaining deliverables | Text and summaries can be assisted; humans are responsible for conclusions and judgments. | You determine conclusions and limitations. |
| Publish or deliver outputs within authorization and archive data, methods and metadata. | Publication and archiving | Cataloging and organization can be assisted; humans are responsible for authorization and accountability. | You and data-management roles handle publication approval and archiving. |
Evidence introduction | Citation rules: cite only sources that support this page's claims; identify jurisdiction, period, statistical scope and whether coverage is exact for this occupation. General research mainly covering broad occupational groups must not be used to infer changes to individuals' jobs in this occupation. Technology lists do not equal adoption. Sources cannot replace your own judgments about data and analysis conclusions or organizational disclosure, confidentiality, personal information and ethics requirements.
Introduction to differences | The following compares adjacent roles by what AI mainly changes and what remains human responsibility. Conclusions are consistent: tools can enhance data organization, statistics, mapping, literature, documentation and searches. Appropriately authorized personnel and data and ethics management roles always remain responsible for research-question definition, judgments about data definitions and quality, spatial analysis conclusions and explanations, external publication, controlled data and ethics. Assess technical feasibility, organizational and regulatory adoption (depending on disclosure, confidentiality, personal information and ethics requirements), and job outcomes separately.
What AI mainly changesCleaning suggestions, format conversion and basic draft drawings can be trialed; verify speed and quality.
Still human responsibilitiesResearch-question definition and judgments about data definitions, boundaries and quality
What AI mainly changesTools can assist with summarizing literature and materials, report drafts, documentation and knowledge bases.
Still human responsibilitiesExplanations of spatial mechanisms, analysis conclusions and limitations
What AI mainly changesTools can generate data and quality statistics, metadata, workflow documents and training materials.
Still human responsibilitiesResponsibility for external publication, controlled data, personal information and ethics
Introduction to responsibility | Clarify responsibilities for questions, data, validation, security and publication before and after tool adoption. Operations and calculations can be assisted; responsibilities follow actual jurisdiction, project and role procedures.
Questions and definitions: appropriately authorized personnel must determine research or application questions, data sources, years, boundaries, coordinates and statistical coverage. Tools do not replace judgment.
Data and quality: you must check data sources, metadata, coordinates, topology, outlier handling and reproducibility according to methods. Tools do not replace data-quality judgments.
Analysis and validation: you must check and review spatial analysis, statistical results and sensitivity or robustness checks. Tool outputs must not directly serve as the basis for conclusions.
Data and security: manage citizens' personal information, controlled or state-secret data and metadata according to minimum necessity, authority and retention periods. Do not use tools to send them externally or generate unverified content.
Publication and responsibility: publication, delivery or submission of deliverables and provision of controlled data must stay within authorization, disclosure, ethics and approval scope. Report anomalies, risks of misleading results and suspected leaks according to procedures.
May cause incorrect or misleading conclusions and reputational or policy consequences
Control method:Before publishing conclusions, you must verify data, definitions, methods and limitations and retain records.
May miss definitional conflicts or boundary or projection errors, causing systematic bias
Control method:Appropriately authorized personnel must acquire data and judge definitions and quality according to methods.
May violate data protection, confidentiality and surveying and mapping deliverable management requirements
Control method:Restrict purposes, retention periods and access rights; do not upload controlled data to external services.
False records affect reproducibility and quality, ethics and data-management checks.
Control method:Records must reflect actual data and analysis processes; generating unverified content is prohibited.
Responsibility cannot be determined when conclusions are disputed or data-compliance or ethics issues arise.
Control method:Before adopting tools, clarify and record responsible persons and routes for question definition, data processing, judgments about conclusions and publication approval.
Use tools in reversible support stages: data searches, format conversion, literature and material organization, and draft drawings. Research questions, data definitions, conclusions and external publication follow supervision, methods and authorization.
Use digital tools for data cleaning, spatial analysis, statistics, mapping, draft documentation and result review. You remain responsible for data quality, definitional judgments and analysis conclusions according to methods and authorization.
Use tools to organize data and quality statistics across projects, knowledge bases, methodological explanations and training materials. You and data and ethics management roles confirm complex, disputed, controlled-data and ethics matters.
Use tools for data and quality statistics, metadata, workflows, documentation and knowledge management. Conclusions, external publication and provision of controlled data require human approval and records.
This page's sources cannot establish that replacement will not occur. Support tasks can be trialed, with accuracy and efficiency verified. Regulatory responsibilities do not automatically transfer when outputs are generated; job outcomes require separate evidence.
Source:O*NET 19-3092.00 (tasks and work context)Original materials ↗
Check actual role skills requirements. Among unique U.S. job advertisements linked by ONet to this occupation from month 1, day 1 to month 12, day 31 in 2025, ArcGIS72%, Python38%, SQL25% and AutoCAD18% are listed; the other 10 entries are NA. The denominator is linked, deduplicated advertisements, not worker usage, AI adoption, ability scores or uniform entry conditions. Advertisements from a single year do not establish rising requirements or grant data or publication authority.
Source:O*NET2025 software mentions in recruitmentOriginal materials ↗
Editorial suggestion | Trial cleaning suggestions, generated code, basic drawings, searches and explanatory drafts in authorized environments, checking calculations, citations and versions. This page has established no task-exposure ranking, actual adoption rate or efficiency gain, so it does not call these the tasks most susceptible to AI impacts.
Source:O*NET occupational tasks and editorial suggestionsOriginal materials ↗
Direct BLS Table 1.2: employment in this occupation 19-3092 in both 2025 and 2035 is rounded to approximately 1,500 people, with a change of −2.1%. Rounded endpoints cannot establish zero net change or an exact number of people lost. Average annual openings of approximately 100 in 2025–2035 are explained by OOH as entirely replacement needs from occupational transfers or exits from the labor force, not net new jobs or current vacancies. The self-employed share is shown as unavailable and cannot be treated as 0.
Source:BLS2025–2035 direct projectionsOriginal materials ↗
AI cannot take these on independently. Appropriately authorized personnel and organizations are responsible for research or application question definition; judgments about data definitions, boundaries and quality; explanations of spatial mechanisms and analysis conclusions; and external publication, controlled data, personal information and ethics. You must make judgments based on methods and data and take responsibility for consequences. AI can assist searches, organization, statistics and drafts but cannot replace methodological judgment, compliance responsibilities or accountability.
Source:NIST AI RMF (governance principles)Original materials ↗
Ability to translate research or application questions into verifiable data and methods; judge data definitions, boundaries, quality and uncertainty; clearly explain spatial mechanisms, conclusions and limitations; understand disclosure, confidentiality, personal information and ethics boundaries; and maintain reproducible records.
Source:O*NET work context and exactness requirementsOriginal materials ↗
Editorial checking suggestion | Check technical performance, actual organizational adoption and job outcomes separately. NIST is a general risk governance framework, providing no adoption rate or employment effect for this occupation. Negative BLS growth cannot be attributed to AI or used to infer individual prospects; check actual positions and budgets separately.
Source:NIST governance framework and editorial checking suggestionsOriginal materials ↗
Summary | Tools can assist searches, cleaning suggestions, calculations, mapping and drafts. Demonstrations cannot establish proven acceleration, adoption or job reductions. Verify input definitions, results and limitations, data authorization and publication responsibilities item by item.
Insufficient evidence: sources consulted for this page do not provide a Chinese national occupational wage distribution exactly corresponding to 19-3092.00. NBS publishes industry averages and averages for five broad job categories in enterprises above designated size; neither can fill this occupation's gap. Readable body text from the original MOHRSS page was not obtained in this round, which cannot establish that national data do not exist.
Insufficient evidence: sources consulted for this page do not provide a Chinese national occupational wage distribution exactly corresponding to 19-3092.00. NBS publishes industry averages and averages for five broad job categories in enterprises above designated size; neither can fill this occupation's gap. Readable body text from the original MOHRSS page was not obtained in this round, which cannot establish that national data do not exist.
Insufficient evidence: sources consulted for this page do not provide a Chinese national occupational wage distribution exactly corresponding to 19-3092.00. NBS publishes industry averages and averages for five broad job categories in enterprises above designated size; neither can fill this occupation's gap. Readable body text from the original MOHRSS page was not obtained in this round, which cannot establish that national data do not exist.
Insufficient evidence: sources consulted for this page do not provide a Chinese national occupational wage distribution exactly corresponding to 19-3092.00. NBS publishes industry averages and averages for five broad job categories in enterprises above designated size; neither can fill this occupation's gap. Readable body text from the original MOHRSS page was not obtained in this round, which cannot establish that national data do not exist. Articles 27–29 of China's Surveying and Mapping Law govern organizational qualifications and scope for surveying and mapping activities; Articles 30–31 respectively govern personnel practice conditions and work credentials. Do not treat all geographic research as licensed surveying and mapping. Article 34 requires approval under the rules for external provision of surveying and mapping deliverables classified as state secrets, while Article 37 governs review and publication of important geographic information data. Do not generalize these into approval for all ordinary data sharing. Process personal information according to whether natural persons are identifiable, a lawful basis and minimum necessity; anonymized materials are not personal information. Under Articles 2/9 of the Measures for Ethical Review of Science and Technology (Trial), assess applicability based on participants, data and actual risks before applying for review. References to sensitive topics alone cannot establish the same approval obligation.
| Educational background | Common role directions | Explanations and checking suggestions |
|---|---|---|
| Relevant education and professional training (follow actual Chinese job advertisements) | Check Chinese application roles item by item | Check Chinese application education requirements against actual advertisements. This page's U.S. ONet responses on new-hire education show 45% bachelor's degrees, 25% doctorates and 20% master's degrees. BLS2025 lists typical entry as a bachelor's degree, with no related experience or typical OJT; do not extrapolate this to most Chinese roles. |
| Master's or doctoral degree (research, university and professional roles) | Research, university and professional analysis roles | For research directions, check master's, doctoral and research-experience conditions. This page has established no Chinese recruitment sample and does not claim that most or typical roles require them. U.S. OOH states that research roles may require a master's or doctorate; follow actual advertisements. |
| Geographic information, spatial analysis, statistics and programming skills | Check specific data and analysis roles item by item | Check GIS, remote sensing, statistics and programming requirements for specific roles. 2025 U.S. linked recruitment software mentions include ArcGIS72%, Python38%, SQL25% and AutoCAD18%. These are not Chinese role frequencies, worker adoption or uniform entry requirements. |
| Data protection, ethics and field safety training (where applicable) | Roles involving personal information, controlled data or fieldwork | Articles 27–29 of China's Surveying and Mapping Law govern organizational qualifications and scope for surveying and mapping activities; Articles 30–31 respectively govern personnel practice conditions and work credentials. Do not treat all geographic research as licensed surveying and mapping. Article 34 requires approval under the rules for external provision of surveying and mapping deliverables classified as state secrets, while Article 37 governs review and publication of important geographic information data. Do not generalize these into approval for all ordinary data sharing. Process personal information according to whether natural persons are identifiable, a lawful basis and minimum necessity; anonymized materials are not personal information. Under Articles 2/9 of the Measures for Ethical Review of Science and Technology (Trial), assess applicability based on participants, data and actual risks before applying for review. References to sensitive topics alone cannot establish the same approval obligation. |
Sources consulted for this page do not provide a Chinese national occupational wage distribution exactly corresponding to 19-3092.00. NBS publishes industry averages and averages for five broad job categories in enterprises above designated size; neither can fill this occupation's gap. Readable body text from the original MOHRSS page was not obtained in this round, which cannot establish that national data do not exist. U.S. wages are 2025 estimates for the exact occupation 19-3092. OEWS includes commissions, production bonuses and some allowances, excludes overtime premiums, nonproduction bonuses, stock bonuses and employer benefit costs, and excludes self-employed earnings. Check the two jurisdictions and statistical scopes separately.
Check scientific research and some geographic information and planning consulting roles against the actual employer's industry. NBS2025 scientific research and technical services figures are 182,064 yuan/year for nonprivate units and 83,560 yuan/year for private units: national pretax annual averages for employed persons in urban units, not geographers' median or take-home pay. Industry statistics exclude individually owned businesses and freelancers; retain the Chinese exact occupational wage gap.
Check universities' education classification against the actual organization; research institutes are not automatically classified as education. NBS2025 education figures are 133,539 yuan/year for nonprivate units and 63,908 yuan/year for private units: national pretax annual averages for employed persons in urban units, not wages for this occupation. Industry statistics exclude individually owned businesses and freelancers; retain the Chinese exact occupational wage gap.
Government geographic information, planning, statistics and natural resources roles may fall under this category. This coverage provides industry averages, not wages for this occupation, and this page does not use it to fill the gap.
Insufficient evidence: no separate generative AI exposure level, actual adoption rate or causal wage or employment effect has been obtained for 19-3092.00. Searches, cleaning, mapping and text drafts can be trialed in authorized environments, checking accuracy and costs item by item. Computer tasks or software advertisements do not justify medium or high ratings.
| National percentiles or medians describe wage positions, not fixed pay for inexperienced workers with less education or doctoral managers. Check specific role pay, working hours and contract conditions. |
| Median (50%) | Median hourly wage: 49.06 U.S. dollars / median annual wage: 102,040 U.S. dollars (2025, BLS OEWS, 19-3092.00) | Official annual wages, not an individual's actual paid earnings | National percentiles or medians describe wage positions, not fixed pay for inexperienced workers with less education or doctoral managers. Check specific role pay, working hours and contract conditions. |
|---|
| Top 10% | 90th percentile annual wage: 136,660 U.S. dollars (2025, BLS OEWS, 19-3092.00) | Official annual wages, not an individual's actual paid earnings | National percentiles or medians describe wage positions, not fixed pay for inexperienced workers with less education or doctoral managers. Check specific role pay, working hours and contract conditions. |
|---|
Pay · 10th percentile：10th percentile annual wage: 66,770 U.S. dollars (2025, BLS OEWS, 19-3092.00)；Coverage | 2025 U.S. national employee annual wage for 19-3092 at the 10th percentile: 66,770 U.S. dollars. Boundary | Distribution positions do not correspond to starting pay, education, experience or job levels； self-employed earnings are excluded.
Pay · 25th percentile：25th percentile annual wage: 80,290 U.S. dollars (2025, BLS OEWS, 19-3092.00)；Coverage | 2025 U.S. national employee annual wage for 19-3092 at the 25th percentile: 80,290 U.S. dollars. Boundary | Distribution positions do not correspond to starting pay, education, experience or job levels； self-employed earnings are excluded.
Pay · Median：Median hourly wage: 49.06 U.S. dollars / median annual wage: 102,040 U.S. dollars (2025, BLS OEWS, 19-3092.00)；Coverage | 2025 U.S. national median employee annual wage for 19-3092: 102,040 U.S. dollars. Boundary | Distribution positions do not correspond to starting pay, education, experience or job levels； self-employed earnings are excluded.
Pay · 75th percentile：75th percentile annual wage: 121,870 U.S. dollars (2025, BLS OEWS, 19-3092.00)；Coverage | 75th percentile annual wage for this occupation (2025), describing only the national wage distribution position, not education, experience or responsibility levels. O*NET national wages | https://www.onetonline.org/link/localwages/19-3092.00
Pay · 90th percentile：90th percentile annual wage: 136,660 U.S. dollars (2025, BLS OEWS, 19-3092.00)；Coverage | 90th percentile annual wage for this occupation (2025), describing only the national wage distribution position, not education, experience or responsibility levels. O*NET national wages | https://www.onetonline.org/link/localwages/19-3092.00
Insufficient evidence: this page has not obtained regional wage percentiles for this occupation. National percentiles only describe distribution positions and cannot establish causal relationships with education, age, experience, organization or responsibilities.
OEWS includes commissions, production bonuses and some allowances, excludes overtime premiums, nonproduction bonuses, stock bonuses and employer benefit costs, and excludes self-employed earnings. National exact occupational wages for 19-3092 and employment projections differ in coverage and purpose; hourly-wage conversions are not an individual's actual paid earnings.
Wages come from BLS OEWS2025, displayed through O*NET national wages and the BLS Occupational Outlook Handbook. Employment, growth and average annual openings come from BLS Table 1.2 projections for 2025–2035. All cover this occupation 19-3092, with wages excluding self-employed earnings and differing in coverage and purpose from projections.
Usage suggestion: consider median wages, percentiles and employment figures together with the small employment size and projected slight decline. Check local organization types, funding and regions; you can also query the official O*NET wage page by period. Do not infer individual pay from a single figure.
| Industry | Median wage for this occupation within the industry | How to interpret it |
|---|---|---|
| Federal government (excluding postal services) | Median annual wage: 110,010 U.S. dollars (2025, 19-3092) | BLS OOH2025 employment share for this occupation is 64%, not the 2024 ONet broad government category of 79%. |
| Educational services (state, local and private) | Median annual wage: 68,340 U.S. dollars (2025, 19-3092) | BLS OOH2025 employment share for this occupation is 13%. |
| Professional, scientific and technical services | Median annual wage: 92,380 U.S. dollars (2025, 19-3092) | BLS OOH2025 employment share for this occupation is 6%. |
| State government (excluding education and hospitals) | Median annual wage: 75,590 U.S. dollars (2025, 19-3092) | BLS OOH2025 employment share for this occupation is 10%. Do not average federal and state wages into an overall government wage. |
Bachelor's, master's and doctoral degrees differ in role entry and research responsibilities. Research, university and professional analysis roles typically require higher degrees and longer research experience.
Government agencies, universities, research institutes and consultancies differ in pay systems, funding structures, project cycles and funding dependence.
Check specific regions, contractual pay and role skills conditions. Existing national wages and technology mentions in recruitment do not estimate pay or hiring effects of combined skills.
Which Holland interest types are closer to geography?
Holland (RIASEC) | Understand your relative Investigative and Realistic preferences. This occupation's O*NET interest code is IR (Investigative–Realistic): willingness to analyze and investigate spatial, physical and cultural phenomena and develop and apply methods (Investigative), and willingness to work with practical objects such as maps, geographic information, equipment and fieldwork (Realistic). This fits the occupation's main activities: analyzing data or information (90), working with computers (89), processing information (88), getting information (86), and interpreting the meaning of information for others (80). Questionnaires only raise questions; they do not determine fit or readiness to work.
Do not use it this way:If you struggle to work with data, literature and definitional details over the long term, or accept job-stability differences caused by funding and project cycles, high interest questionnaire scores cannot change this practical cost. This occupation also requires confirmation of data acquisition, use, publication, confidentiality and ethics requirements.
Test my Holland career interestsWhich Big Five traits are more relevant to this work?
Big Five | Trait questionnaires can organize self-observations. Observe in actual learning and work whether you can consistently check data, methods and limitations. Do not predict adaptation to this occupation from conscientiousness, openness or emotional stability scores.
Do not use it this way:Do not use “the personality assessment says I am unsuitable” as a reason to give up or avoid entering. Use internships, job shadowing or simulated research tasks, mentor and peer feedback, and qualification review results.
See my Big Five personality traitsCan MBTI determine whether being a geographer is right for me?
MBTI | Typology supports reflection on communication and work preferences. This occupation requires procedural communication and collaboration with data providers, geographic information teams, planning and policy teams, statistics teams and ethical review parties. Preferences do not determine competence.
Do not use it this way:Use types only as a reference for communication styles; do not infer whether you or others can successfully compile data, perform spatial analysis, explain conclusions or publish results.
Understand my MBTI preferencesCan the Enneagram indicate whether this occupation is right for me?
Enneagram | For self-questioning. The editorial suggestion is to observe how you check boundaries, projections and methods and keep records under funding and project pressure or definitional conflicts. This page has established no comparative predictive validity between these observations and type labels.
Do not use it this way:Do not use type labels to explain disputed conclusions or data problems. Return to whether data sources, definitions, methods, checks and records are adequate.
Explore my Enneagram patternsCan I be a geographer if I am weak at mathematics?
Intelligence and reasoning | Tasks include quantitative analysis, data processing and result interpretation. Check specific training through methods, tools and work samples. Do not use general assessment scores to compare contributions to this occupation or predict long-term competence.
Do not use it this way:High or low scores do not indicate whether you can learn data processing, spatial analysis or writing deliverables. Test this through internships, job shadowing or simulated research tasks and mentor feedback.
Understand my intelligence and reasoning performanceDoes being a geographer require high emotional intelligence?
Emotional intelligence | Observe how you communicate, check and record under rework, disagreement or schedule pressure. This page has established no causal effect of emotional assessment scores on research quality or collaboration performance.
Do not use it this way:Use communication, review and handling of disagreement as learning observations. This page does not predict training effects on emotional assessment scores or occupational performance.
Understand my emotional intelligence abilitiesBetter fit:Ability to independently complete regional research, spatial analysis and writing deliverables within authorization
Note:If you struggle to work with data, literature and definitional details over the long term or accept uncertainty in research and project cycles, this occupation is not recommended.
See related occupations:This occupation (geographers) directionBetter fit:Image processing, photogrammetry and map design capabilities
Note:If you prefer data, analysis conclusions and explanations of mechanisms to maps and image deliverables, this direction is not recommended.
See related occupations:Cartography and photogrammetry directionBetter fit:Control surveying, observation, adjustment and deliverable management capabilities
Note:If you prefer regional research and data analysis to high-accuracy observations and control deliverables, this direction is not recommended.
See related occupations:Geodetic surveying directionBetter fit:Spatial data management, analysis, and system operation and maintenance capabilities
Note:If you prefer research questions and explanations of conclusions to data and system applications, this direction is not recommended.
See related occupations:Geographic information technician directionBetter fit:Statistical design, inference and uncertainty analysis capabilities
Note:If you prefer spatial phenomena and explanations of geographic mechanisms to statistical methodological design as the core focus, this direction is not recommended.
See related occupations:Statistics directionBetter fit:Machine learning, data product and engineering implementation capabilities
Note:If you prefer data compilation, analysis and explanation for spatial questions to modeling and data products, this direction is not recommended.
See related occupations:Data science directionWhat personality is better suited to being a geographer? This occupation places more weight on rigor with data, methods and definitions, sustained curiosity about regional and spatial phenomena, ability to clearly explain complex conclusions, and willingness to take responsibility for data compliance and reliable conclusions than on a personality type. O*NET's interest code is IR (Investigative–Realistic), and work styles emphasize innovation, intellectual curiosity, attention to detail and dependability, providing starting points for exploration.
Are introverts suited to this occupation? Yes. It involves extensive independent data processing, literature work and writing, alongside communication with data providers, project teams and readers (email 90% daily; telephone 75% weekly or more often but not daily; working in or contributing to a team 50% very important).
Can extraverts do it well? Communication is a task requirement; introversion or extraversion labels alone cannot establish performance. Observe how you explain data and limitations, confirm understanding and handle disagreements.
Which MBTI type is best for this occupation? No type has been proven best. MBTI is not an occupational qualification or ability assessment tool; occupational adaptation mainly depends on awareness of data and methods, adherence to methods, and software, writing and compliance capabilities.
Which Holland interest types are better suited to this occupation? O*NET's interest code is IR: Investigative (analyzing and investigating spatial, physical and cultural phenomena and developing and applying methods) and Realistic (working with practical objects such as maps, geographic information, equipment and fieldwork). Use it to explore task preferences, not predict performance.
This page has obtained no specific validity evidence for personality or interest scores predicting geographers' performance, so they cannot support individual predictions. One G1 exercise records only this learning experience; keep observing through later courses and projects.
Can I do this occupation if I am weak at mathematics? It requires quantitative abilities in statistics, spatial analysis and data processing, with daily data analysis, charts and calculations involving definitions. Quantitative foundations can be improved through training, but a complete inability to adapt to data and quantitative work is a significant limitation.
This occupation requires communication, collaboration and handling of disagreement. Observe how you check according to methods, explain limitations and hand over matters. This page sets no emotional intelligence threshold or predictions of emotional assessment effects.
Can the Enneagram determine whether I am suited to it? No. The Enneagram is a self-exploration tool, not a conclusion about occupational ability or fit. Assess fit by whether you can compile and analyze data and publish deliverables under data, method and definitional requirements.
Use this page's three G1 paper drafts to observe calculation, definitional checking and handover performance in this exercise. Compare your work with reference results and record errors and training needs, then keep observing through sustained courses and projects. Do not treat one task as proof of long-term fit or authorization.
Typical scenario：Scenario | Regional boundaries and statistical data supplied for a project have inconsistent definitions. The schedule is tight, and the client wants maps and conclusions produced from existing data first and checked later.
Main roles：You, data and project roles; clients, the public and the research community
Possible consequences：Misjudging data years, administrative boundaries, coordinate systems, projections or statistical coverage, combining or comparing data with incomparable definitions, or lacking traceable metadata and sources may cause systematically incorrect analysis conclusions and affect research, decisions and public understanding.
Reduce risks：Before the task, check data sources, years, boundaries, coordinates and statistical coverage and record the basis. Check analysis and mapping according to methods and reproducibility requirements, retaining scripts and intermediate results. Immediately pause, review and redo work when definitions conflict, boundaries or projections are wrong, or results are abnormal.
Basis：O*NET 19-3092.00 details (tasks and work context) · NIST AI Risk Management Framework (AI RMF 1.0)
Typical scenario：Scenario | At handover, the previous shift's analysis scripts lack parameter and data-version records, and the result drawings and database have inconsistent versions. You are advised to fill the gaps using a template.
Main roles：You, data and quality roles; organizations, research or projects, and competent authorities
Possible consequences：False, missing or fabricated original data, processing scripts, methods or metadata; backdated or untraceable rewrites; or inconsistent versions of results, drawings and databases affect reproducibility, quality, ethics and data-management checks, and credibility of deliverables.
Reduce risks：Accurately record sources, scripts, parameters, original values and versions. Correct or supplement errors or omissions according to procedures, retaining original records, reasons, actual times and responsible persons. Do not fabricate observations, backdate, selectively delete data or fill gaps with unverified content.
Basis：O*NET 19-3092.00 details (tasks and work context) · Personal Information Protection Law of the People's Republic of China
Typical scenario：Scenario | A stakeholder requests that data containing personal information or controlled geographic information be sent in an uncontrolled group chat for quick coordination.
Main roles：You, data, compliance and ethics roles; organizations, clients and data subjects
Possible consequences：Failure to manage citizens' personal information or controlled or state-secret geographic information according to minimum necessity, approval, confidentiality and ethics requirements, or unauthorized external publication, provision or cross-border transfer, may violate data protection, surveying and mapping deliverable and ethics requirements and cause legal and reputational consequences.
Reduce risks：Check whether materials contain identifiable personal information, controlled data or state secrets, and their actual purpose, recipient and authorization. Process them under applicable grounds, necessary scope and retention periods. External provision of state-secret deliverables requires approval under the rules; ordinary sharing does not universally require administrative approval. Report suspected unauthorized conduct according to procedures and retain facts.
Basis：Personal Information Protection Law of the People's Republic of China · NIST AI Risk Management Framework (AI RMF 1.0)
Typical scenario：Scenario | During a staff shortage, you are asked to issue conclusions or deliverables with policy, legal or qualification effect beyond your organization's or your own authorization.
Main roles：You, legal, ethics and statistics roles; organizations, clients and professional practice
Possible consequences：Publishing conclusions or making policy, legal or ethical conclusions beyond authorization, or issuing deliverables in place of statistical or qualified surveying and mapping roles, may cause legal, practice and reputational risks.
Reduce risks：Publish deliverables within authorization and project scope. Hand over policy, legal, ethical, statistical or surveying and mapping qualification conclusions to the appropriate roles or organizations. When asked to exceed authorization, first explain the boundary and hand over according to procedures.
Basis：Surveying and Mapping Law of the People's Republic of China · O*NET 19-3092.00 details (tasks and work context)
Typical scenario：Scenario | The only colleague familiar with particular data definitions and processing workflows is on leave. The project requires that colleague to guide untrained staff by telephone to process and publish results temporarily.
Main roles：You, team and data-platform roles; project progress and deliverable continuity
Possible consequences：When one person handles critical data, analysis or platform access, departure, interrupted funding, data-source changes or expired accounts may interrupt research or applications, delaying projects and affecting quality and continuity of deliverables.
Reduce risks：Establish backup and handover rules for data, analysis scripts, platform access and personnel. Keep critical methods, parameters and result versions reproducible and recorded. Report staffing, access or funding shortages according to procedures and adjust priorities; do not publish conclusions with unresolved hazards.
Basis：O*NET 19-3092.00 occupational profile and official scope · NIST AI Risk Management Framework (AI RMF 1.0)
Typical scenario：Scenario | After completing analysis, an outsourcing provider requests payment without submitting original data, scripts or checking records. On site, you are asked to sign off first, with data and review to follow later.
Main roles：You, outsourcing providers and data service providers; projects, deliverables and data security
Possible consequences：Unclear delivery and acceptance arrangements for outsourced data collection, analysis or platform services, or unclear data and deliverable ownership or fee-change rules, may cause rework, fee disputes and unclear quality and data-security responsibilities.
Reduce risks：For outsourcing and technical cooperation, clearly define and record scope, standards, acceptance, data and deliverable ownership, and fee-change rules. Review and accept delivered results. Pause, review and report disputes about delivery, acceptance or ownership.
Basis：O*NET 19-3092.00 details (tasks and work context) · Surveying and Mapping Law of the People's Republic of China
Qualification boundary | Professional education, internship and paper completion, degrees, organizational and project authorization, and authority over data acquisition, publication and ethical review are distinct statuses. Preparation items listed here do not equal authorization or automatically grant authority to independently publish policy, legal or ethical conclusions or provide controlled data.
| Career directions | Starting tasks | Evidence you can prepare | Work samples you can show without experience | Distinction from this occupation |
|---|---|---|---|---|
| Geographic information technicians | Assisting with spatial data ingestion and mapping | Geographic information or surveying and mapping training and project records | A fictional table of key points for spatial data ingestion and mapping | Outputs concern spatial data management and system operation and maintenance; this occupation produces research or analysis conclusions and explanations. |
| Cartographers and photogrammetrists | Assisting with image processing and mapping | Photogrammetry or cartography training and project records | A fictional table of key points for image processing and map design | Outputs concern maps, imagery and photogrammetry; this occupation produces data and analysis conclusions. |
| Geodetic surveyors | Assisting with control surveying and field observations | Surveying and mapping or civil engineering education and internship records | A fictional table of key points for control networks and observation plans | Outputs concern datums, control networks, coordinates and elevations; this occupation produces data compilation, spatial analysis and explanations. |
| Statisticians | Assisting with sampling, data organization and statistics | Statistics or mathematics training and project records | A fictional table of key points for sampling design and inference | Outputs concern statistical design and inference; this occupation produces explanations of spatial phenomena and geographic mechanisms. |
| Data scientists | Assisting with data cleaning and modeling | Data science or computing training and project records | A fictional table of key points for data cleaning and modeling | Outputs concern machine learning and data products; this occupation produces regional research and analysis conclusions. |
Independent responsibility for research or application projects and publication of deliverables depends on relevant duties within disciplinary, organizational authorization and project scope, not education alone.
Education and training only affect the entry starting point; independent work mainly depends on internships, supervision, methodological, software and writing training, and assessment results.
Appropriate roles or organizations must handle policy, legal, ethical, statistical or surveying and mapping qualification conclusions.
Retaining and providing controlled and personal information data and metadata must follow confidentiality and minimum necessity requirements; do not send controlled data to unauthorized environments.
M2 | Same-year, same-boundary v1 table: area A has 2km², 1,000 residents and 6 service points; area B has 1km², 800 residents and 4 service points. The areas do not overlap and cover the whole exercise area. Reference formulas: population density = population/area (people/km²); service points per thousand residents = service points/population × 1,000; whole-area density = total population/total area.
M3 | Additional 2024 boundary v0 data give area B as 0.5km². No v0 population, boundary-change crosswalk or 2024 service-point data are provided. Coordinate materials give A=(120.2,30.1) in degrees and B=(500000,3300000) in meters; neither supplies CRS, datum or axis order. There are no transformation parameters, distances, facility capacities, residents' actual routes or group-specific service coverage data. Do not fabricate unknowns or perform transformations or overlays.
M4 | Draft v2 awaiting review claims: “Whole-area average density 650 people/km²; service points per thousand residents A 60, B50; service in A is more equitable; divide B's population 800 by v0 area 0.5 to obtain 1600 people/km² and compare it with area A in 2025.” These are exercise claims awaiting correction, not verified conclusions. No information is provided about who made the changes, the actual cause or the research sampling design.
M5 | On month 10, day 1, at 16:00, prepare a handover draft for Q's review. There is no confirmation as of 16:04; T needs a progress explanation at the exercise's 16:20 deadline. U separately requests a list of real households' exact coordinates, without classification, lawful grounds or authorization. Only write a simulated handover here; do not actually send anything, collect household data, send data externally or describe lack of confirmation as approval.
M6 | Draw three tables yourself with pen and paper: calculation table (source/version/year/unit/formula/result); definitions and discrepancies table (v1/v2 claim/reference result/discrepancy/UNKNOWN/missing materials); and handover draft (recipient/issue/limitation/responsible person/actual record time/deadline/confirmation status). This exercise requires no GIS, scripts, real survey, template or expert; feedback is optional.
State whether you completed this exercise independently and the assistance actually used; the number of tables completed does not establish occupational ability.
List unknown coordinates, mixed boundaries, equity evidence and the real household request separately as awaiting materials, rather than fabricating values.
Record actual corrections, reasons and times from this exercise, retaining v2's original claims. Do not falsely claim expert or organizational review.
Confirm that another reader can trace the three tables; the exercise requires no template or dataset downloads.
Do not record real household coordinates or individual data from real areas; use only the synthetic M1–M6 exercise materials.
Distinguish verifiable data results, mixed-definition errors, UNKNOWN information and authorization awaiting confirmation.
Compare with M2/M4/M5 answers; successful tool calculations do not establish correct data definitions.
| Stage | Points that may be checked | Observable evidence | Boundary explanation |
|---|---|---|---|
| Resume and initial screening | Geography, geographic information or statistics education and research experience, and methodological, software or writing outputs | Education, paper or project, and analysis output records | Self-assessment cannot replace education, authorization and organizational verification. |
| Interview | Understanding of data definitions, boundaries, quality, reproducibility, ethics and publication boundaries | Judgments about definitional conflicts, misleading results and exceeding authorization in interview questions | Scenario answers cannot replace ethics and data-protection training. |
| Written or practical test |
Record all synthetic exercise materials without seeking real data externally.
Retain your original formulas, then compare with 500/800/600 and 6/5.
Record only errors actually found; do not fabricate two issues.
List missing evidence for equity, accessibility, capacity and groups as awaiting materials.
Do not actually send anything or provide household coordinates.
Record actual corrections and reasons; do not falsely claim approval.
| Qualification or preparation item | Applicable population | Role in this occupation | Universally required? | Conditions for obtaining it | Approximate commitment | Limitations |
|---|---|---|---|---|---|---|
| Bachelor's degree related to geography, geographic information, planning, environment or statistics | Most roles | Meet starting knowledge and methodological requirements for entry | U.S. BLS typical entry is a bachelor's degree; check Chinese advertisements. | Complete the relevant bachelor's degree education | Check courses, program duration or organizational arrangements; this page estimates no uniform duration. | Education does not equal authorization or independent publication authority. |
| Master's or doctoral degree |
Typical responsibilities：Under supervision, assist with data searches and organization, literature and material summaries, basic statistics and mapping. Do not independently publish conclusions or provide controlled data.
Promotion evidence：Data organization and analysis support records and review comments; ability to explain definitions and reproducibility essentials.
Qualification boundaries：Geography or related education and internship records; organizational data and ethics training.
Next steps：Understand data sources, definitions, spatial analysis and statistics essentials, and reproducibility requirements.
Typical responsibilities：Independently define research or application questions, compile data, perform spatial analysis, statistics and mapping, explain conclusions and limitations, and review according to methods.
Promotion evidence：Analysis plan, data, result and limitation records and review comments.
Qualification boundaries：Relevant degree and organizational authorization; research or analysis practice experience.
Next steps：Accumulate experience across regions, data sources and question types, and practice robustness and sensitivity analysis.
Typical responsibilities：Take responsibility for research or application plan design, method selection, data-management mentoring, quality and ethics implementation, and cross-disciplinary collaboration.
Promotion evidence：Research design, technical review, mentoring and quality records.
Qualification boundaries：Relevant role authorization or experience leading research projects; mentoring and technical review records.
Next steps：Learn interdisciplinary methods, mixed-methods research, communication of deliverables and connections with policy or applications.
Typical responsibilities：Coordinate research topics, data, quality, publication, ethics and confidentiality management, handle complex and disputed matters, and guide newcomers.
Promotion evidence：Coordination conclusions; procedure, data, ethics, quality and training documents.
Qualification boundaries：Relevant management appointment or organizational authorization.
Next steps：Improve systems, data, ethics, emergency-response and training mechanisms.
Typical responsibilities：Under supervision, assist with data ingestion, format conversion, coordinate and projection processing and mapping. Do not independently publish conclusions or provide controlled data.
Promotion evidence：Data ingestion, transformation and mapping records and review comments.
Qualification boundaries：Geographic information or surveying and mapping training records; organizational data and confidentiality training.
Next steps：Understand databases, data models, metadata standards, coordinate systems, projections and access requirements.
Typical responsibilities：Independently maintain databases and metadata, validate data, perform spatial and statistical analysis and mapping, and prepare explanations of results.
Promotion evidence：Data, analysis script, drawing, explanatory and review records.
Qualification boundaries：Organizational role authorization and system access; data and analysis practice experience.
Next steps：Learn automated processing, reproducible workflows, data quality and metadata standards methods.
Typical responsibilities：Under supervision, assist with draft layouts and symbols, organizing drawings and initial checks of presentation. Do not independently publish deliverables or provide controlled data.
Promotion evidence：Draft drawings, proofreading records and review comments.
Qualification boundaries：Cartography, design or geographic information training records; organizational data and confidentiality training.
Next steps：Understand cartographic principles, color, symbols, readability, accessibility and source-data presentation requirements.
Typical responsibilities：Independently prepare thematic maps, charts, data product presentations, result explanations and communication materials, and check presentation accuracy.
Promotion evidence：Drawing, data product, explanatory and review records.
Qualification boundaries：Organizational role authorization; cartography and communication practice experience.
Next steps：Learn interactive visualization, data storytelling and presentation methods for different readers.
Under supervision, learn to assist with data searches and organization, basic statistics, mapping, and literature and material summaries. Do not independently publish conclusions or provide controlled data.
Independently confirm definitions, compile and analyze data, map and write conclusions within authorization and project scope. Report and review definitional conflicts, misleading results or matters beyond authorization according to procedures.
Take responsibility for research design or application plans, technical coordination, mentoring, quality and ethics implementation, and collaboration with multiple parties.
Take responsibility for data, metadata, quality and reproducibility management, joint sign-off, publication, confidentiality and implementation of technical standards.
Direct BLS Table 1.2: employment in this occupation 19-3092 in both 2025 and 2035 is rounded to approximately 1,500 people, with a change of −2.1%. Rounded endpoints cannot establish zero net change or an exact number of people lost. Average annual openings of approximately 100 in 2025–2035 are explained by OOH as entirely replacement needs from occupational transfers or exits from the labor force, not net new jobs or current vacancies. The self-employed share is shown as unavailable and cannot be treated as 0.
Employment size, growth and job openings (exact occupational coverage)
With a small base, percentage changes correspond to very small absolute headcounts, and fluctuations in a single year can noticeably affect percentages. Growth relates to research funding, public-sector demand, data and automation levels, and labor supply. These are structural drivers of jobs, not individual employment predictions.
Cannot establish：Latest EP exact occupational coverage: the self-employed share “—” means not provided, not 0 or proof that all self-employment is excluded. OEWS wages exclude self-employed earnings; check the two scopes separately. Projections are not current vacancies.
United States · SOC 19-3092.00 (OEWS 2025, presented through O*NET)
Median hourly wage: 49.06 U.S. dollars; median annual wage: 102,040 U.S. dollars. 10th percentile: 66,770; 25th percentile: 80,290; 75th percentile: 121,870; 90th percentile: 136,660 (U.S. dollars/year).
Wages (median and percentiles, exact occupational coverage)
Insufficient evidence: this page has not obtained regional wage percentiles for this occupation. National medians, percentiles and the four verified industry wages are not individual starting pay or causal effects of education and experience.
Cannot establish：OEWS includes commissions, production bonuses and some allowances, excludes overtime premiums, nonproduction bonuses, stock bonuses and employer benefit costs, and excludes self-employed earnings. Figures come from 2025 data; subsequent updates should use the current query. Medians and percentiles make no promises about individual pay.
Mainland China · National Bureau of Statistics average wages of employed persons in urban units (industry-category coverage) and bounded searches
Insufficient evidence: sources consulted for this page do not provide a Chinese national occupational wage distribution exactly corresponding to 19-3092.00. NBS publishes industry averages and averages for five broad job categories in enterprises above designated size; neither can fill this occupation's gap. Readable body text from the original MOHRSS page was not obtained in this round, which cannot establish that national data do not exist.
Occupational wages and employment (statistical coverage and gaps)
Sources consulted for this page do not provide a Chinese national occupational wage distribution exactly corresponding to 19-3092.00. NBS publishes industry averages and averages for five broad job categories in enterprises above designated size; neither can fill this occupation's gap. Readable body text from the original MOHRSS page was not obtained in this round, which cannot establish that national data do not exist.
Cannot establish：Legal environments, data-management systems and statistical coverage differ, so data are not combined or converted. This page's China section only records statistical coverage and visible gaps.
These are relationships between adjacent capabilities, not automatic promotion or transitions without further learning.
Transferable：Spatial data, analysis and mapping
Capabilities to develop：Build capabilities in spatial databases, data models, and system operation and maintenance. Transition explanation: relatively close, moving from research or analysis to data and system applications. This page has not quantified transition distance or success probability; verify target-role qualifications, authorization and training separately.
View occupation detailsTransferable：Spatial data, mapping and presentation
Capabilities to develop：Build map design, image processing and photogrammetric computation capabilities. Transition explanation: relatively close, moving from analysis conclusions to maps, imagery and visualization deliverables. This page has not quantified transition distance or success probability; verify target-role qualifications, authorization and training separately.
View occupation detailsTransferable：Surveying understanding and data processing
Capabilities to develop：Build datum, observation, adjustment and control deliverable capabilities. Transition explanation: moderate, moving into geodetic surveying with relevant qualifications and instrument experience required. This page has not quantified transition distance or success probability; verify target-role qualifications, authorization and training separately.
View occupation detailsTransferable：Data processing and statistical methods
Capabilities to develop：Build sampling, experimental design, statistical inference and uncertainty capabilities. Transition explanation: relatively close, moving from applied statistics to statistical methodological design. This page has not quantified transition distance or success probability; verify target-role qualifications, authorization and training separately.
View occupation detailsTransferable：Data processing and programming
Capabilities to develop：Build machine learning, data product and engineering implementation capabilities. Transition explanation: moderate, moving into data science. This page has not quantified transition distance or success probability; verify target-role qualifications, authorization and training separately.
View occupation detailsTransferable：Spatial data, communication and standards
Capabilities to develop：Build planning, regulatory, spatial analysis and public participation capabilities. Transition explanation: moderate, moving into urban and regional planning. This page has not quantified transition distance or success probability; verify target-role qualifications, authorization and training separately.
View occupation detailsTransferable：Spatial data and physical geography understanding
Capabilities to develop：Build environmental science, monitoring, assessment and regulatory knowledge. Transition explanation: moderate, moving into environmental science. This page has not quantified transition distance or success probability; verify target-role qualifications, authorization and training separately.
View occupation detailsTransferable：Instruments, observations and records
Capabilities to develop：Build capabilities in assisting and coordinating survey operations, instrument use and records. Transition explanation: relatively close, moving into surveying and mapping technician roles. This page has not quantified transition distance or success probability; verify target-role qualifications, authorization and training separately.
View occupation detailsCore differences concern objects, scales, outputs and levels of authorization. This occupation studies and explains the distribution of regional and spatial phenomena and interactions between human and physical phenomena, producing research or analysis conclusions, data products, thematic maps and reports. Geographic information technicians focus on spatial data management, systems, mapping, and operation and maintenance; cartographers and photogrammetrists (17-1021.00) focus on map design, image processing and photogrammetric computations; geodetic surveyors (17-1022.01) focus on Earth reference frameworks, control networks, datums, coordinates and elevations; statisticians (15-2041.00) focus on sampling, experimental design and statistical inference; and data scientists (15-2051.00) focus on machine learning, data modeling and data products. Objects and authorization levels differ; authority to provide data, publish deliverables or make ethical conclusions cannot be carried across roles.
U.S. 2025 wages for this occupation 19-3092: hourly wage 49.06 and median annual wage 102,040 U.S. dollars; 10th/25th/75th/90th percentiles 66,770/80,290/121,870/136,660 U.S. dollars. OEWS includes commissions, production bonuses and some allowances, excludes overtime premiums, nonproduction bonuses, stock bonuses and employer benefit costs, and excludes self-employed earnings. Direct BLS Table 1.2: employment in this occupation 19-3092 in both 2025 and 2035 is rounded to approximately 1,500 people, with a change of −2.1%. Rounded endpoints cannot establish zero net change or an exact number of people lost. Average annual openings of approximately 100 in 2025–2035 are explained by OOH as entirely replacement needs from occupational transfers or exits from the labor force, not net new jobs or current vacancies. The self-employed share is shown as unavailable and cannot be treated as 0.
Insufficient evidence: sources consulted for this page do not provide a Chinese national occupational wage distribution exactly corresponding to 19-3092.00. NBS publishes industry averages and averages for five broad job categories in enterprises above designated size; neither can fill this occupation's gap. Readable body text from the original MOHRSS page was not obtained in this round, which cannot establish that national data do not exist. Articles 27–29 of China's Surveying and Mapping Law govern organizational qualifications and scope for surveying and mapping activities; Articles 30–31 respectively govern personnel practice conditions and work credentials. Do not treat all geographic research as licensed surveying and mapping. Article 34 requires approval under the rules for provision of state-secret surveying and mapping deliverables to foreign organizations or individuals; Article 37 governs review and publication of important geographic information data. Do not generalize these into approval for all ordinary data sharing. Process personal information according to whether natural persons are identifiable, a lawful basis and minimum necessity; anonymized materials are not personal information. Under Articles 2/9 of the Measures for Ethical Review of Science and Technology (Trial), assess applicability based on participants, data and actual risks before applying for review. References to sensitive topics alone cannot establish the same approval obligation.
O*NET 19-3092.00 work context shows: email 90% daily; controlled indoor environments 75% daily; determining tasks, priorities and goals 55% “a lot of freedom”; freedom to make decisions 50% “a lot of freedom”; face-to-face or individual and group discussions 35% daily and 60% “weekly or more often but not daily”; typical workweeks 55% “more than 40 hours”; telephone 75% “weekly or more often but not daily”; prolonged sitting 60% “more than half the time” and 20% “continually or almost continually”; importance of being exact or highly accurate 30% “extremely important” and 35% “very important”; working in or contributing to a team 50% “very important”; competition 50% “moderate competition”; time pressure 45% “weekly or more often but not daily”; contact with others 40% “approximately half the time”; written letters and memos 45% “monthly or more often but not weekly”; dealing with external customers or the public 45% “important”; coordinating or leading others 55% “important”; and public speaking 45% “yearly or more often but not monthly.” Work features data processing and writing, substantial autonomy, prolonged sitting and some time pressure; some roles also include fieldwork and surveys.
Searches, cleaning suggestions, calculations, mapping and drafts can be trialed in permitted environments; verify performance and review costs through actual use. Among unique U.S. job advertisements linked by ONet to this occupation from month 1, day 1 to month 12, day 31 in 2025, ArcGIS72%, Python38%, SQL25% and AutoCAD18% are listed; the other 10 entries are NA. The denominator is linked, deduplicated advertisements, not worker usage, AI adoption, ability scores or uniform entry conditions. This page has obtained no separate AI exposure, adoption or causal wage or employment effect and assigns no score.
U.S. O*NET places this occupation (19-3092.00) in Job Zone Four (considerable preparation), with an SVP range from 7.0 to below 8.0; most require a four-year bachelor's degree. Respondents report 45% bachelor's degrees, 20% master's degrees and 25% doctorates. Direct BLS Table 1.2 (2025–2035) lists typical entry education as a bachelor's degree, no related work experience requirement and no on-the-job training in the 19-3092 row. This description does not replace competent authority and organizational requirements for education, training, ethics and safety. Surveying and mapping activities in mainland China must be undertaken by organizations with the relevant surveying and mapping qualifications and managed according to disciplinary and role requirements.
U.S. OOH explicitly states that certification is not required. ONet lists 5 related directory entries (LEED Neighborhood Development, GIS/LIS technology, environmental science, economic development and planning); inclusion does not make all entries mandatory licenses. Check specific education, data authority and publication responsibilities against the position and jurisdiction. Articles 27–29 of China's Surveying and Mapping Law govern organizational qualifications and scope for surveying and mapping activities; Articles 30–31 respectively govern personnel practice conditions and work credentials. Do not treat all geographic research as licensed surveying and mapping. Article 34 requires approval under the rules for provision of state-secret surveying and mapping deliverables to foreign organizations or individuals; Article 37 governs review and publication of important geographic information data. Do not generalize these into approval for all ordinary data sharing. Process personal information according to whether natural persons are identifiable, a lawful basis and minimum necessity; anonymized materials are not personal information. Under Articles 2/9 of the Measures for Ethical Review of Science and Technology (Trial), assess applicability based on participants, data and actual risks before applying for review. References to sensitive topics alone cannot establish the same approval obligation.
Common failures include misjudging data years, administrative boundaries, coordinate systems, projections or statistical coverage, or combining data with incomparable definitions; false, missing or fabricated original data, processing scripts, methods or metadata, backdating, untraceable rewrites or inconsistent versions; failure to manage citizens' personal information or controlled or state-secret geographic information under minimum necessity, approval, confidentiality and ethics requirements, or unauthorized external publication; publishing conclusions beyond authorization or issuing deliverables in place of statistical or qualified surveying and mapping roles; interruptions or disputes when one person handles critical data or analysis, or outsourced delivery and acceptance are unclear; and field and outdoor safety risks. Key controls are checking, review and records according to data, reproducibility, ethics and authorization requirements, with immediate pauses and reporting for anomalies, risks of misleading results or matters beyond authorization.
Direct BLS Table 1.2: employment in this occupation 19-3092 in both 2025 and 2035 is rounded to approximately 1,500 people, with a change of −2.1%. Rounded endpoints cannot establish zero net change or an exact number of people lost. Average annual openings of approximately 100 in 2025–2035 are explained by OOH as entirely replacement needs from occupational transfers or exits from the labor force, not net new jobs or current vacancies. The self-employed share is shown as unavailable and cannot be treated as 0. Read tasks in GIS, cartography, surveying, statistics, data science, planning, environmental science, and surveying and mapping technology. Check training and actual role conditions separately; these are not automatic transitions or hiring promises.
Source card | Tasks, interests and work context use ONet2026; wages use 2025 OEWS. Projections come directly from BLS2025–2035 and are compared with O*NET, which already displays current-period employment trends in this round. Software data concern 2025 U.S. linked, deduplicated recruitment advertisements. Industry distributions separately label 2024 ONet and 2025 OOH. Determine jurisdictional applicability by actual activities under the Surveying and Mapping Law, PIPL and the Measures for Ethical Review of Science and Technology.
Source card | On this round's 2026-10-02, ONet tasks, wages and recruitment, direct BLS projections, OOH industries and certification directories were checked. Original 2026-09-21 access records are retained as history, without falsely claiming that sources provided new-period ONet projections. Check Chinese regulations against officially valid texts and applicability; no MOHRSS body text was obtained in this round.
Source card | Source registry: this page's registry lists O*NET 19-3092.00 occupational profiles, details, employment trends, occupational interests, national wages, hot technologies, industry distribution, national training and certification directory; BLS Occupational Employment and Wage Statistics (OEWS 2025), employment projections (2025–2035), methodological notes and direct employment projections Table 1.2 (2025–2035, 19-3092 row), and the 2018 SOC direct match title file; adjacent occupational entries including cartographers and photogrammetrists (17-1021.00) and statisticians (15-2041.00); the O*NET database; National Bureau of Statistics average wages of employed persons in urban units and Ministry of Human Resources and Social Security corporate salary survey information; natural resources and confidentiality authorities' geographic information and surveying and mapping deliverable management requirements; the Personal Information Protection Law of the People's Republic of China, Surveying and Mapping Law of the People's Republic of China and National Standards Full-Text Disclosure System; International Labour Organization research on generative AI and employment exposure and international geographic professional organizations; the NIST AI Risk Management Framework; and FermatMind coverage rules. Each fact's source_refs point to an id within this registry.
Limitations of use：Occupational-level description; does not cover mainland Chinese data, surveying and mapping, or ethics management requirements.
Limitations of use：Occupational-level description; provides no data, ethical or policy opinions.
Limitations of use：This occupation has a small base; both endpoints of 1.5 thousand are rounded and cannot establish zero net change. Projections are not current vacancies.
Limitations of use：OEWS includes commissions, production bonuses and some allowances, excludes overtime premiums, nonproduction bonuses, stock bonuses and employer benefit costs, and excludes self-employed earnings. Medians and percentiles are not individual starting pay.
Limitations of use：Industry averages and averages for five broad job categories in enterprises above designated size, not exact wages for geographers.
Limitations of use：Insufficient evidence: readable body text from the original MOHRSS page was not obtained in this round, which cannot establish that national statistics do not exist.
Limitations of use：Refer to the original law and interpretations by competent authorities.
Limitations of use：Refer to the original law and interpretations by competent authorities.
Limitations of use：Refer to texts published by national standards authorities.
Limitations of use：Task exposure does not mean jobs automatically disappear or indicate a specific adoption rate.
Limitations of use：Interest codes are occupational-level descriptions, not individual predictions.
Limitations of use：Not a standard for data protection, statistics or ethical review.
Limitations of use：Refer to the original methodological documentation.
Limitations of use：Information from an international academic organization, not binding regulatory rules.
Limitations of use：Internal coverage rules, not an external factual source.
Limitations of use：The certification directory does not equal organizational authorization or authority to provide data or publish.
Limitations of use：Typical entry description; does not replace organizational and competent authority education, ethics and safety requirements.
Limitations of use：Adjacent occupational coverage, not equivalent to this occupation.
Limitations of use：Adjacent occupational coverage, not equivalent to this occupation.
Limitations of use：Database and classification information do not establish authorization.
Limitations of use：For mapping titles to SOC, not establishing licensing.
Limitations of use：Among unique U.S. job advertisements linked by ONet to this occupation from month 1, day 1 to month 12, day 31 in 2025, ArcGIS72%, Python38%, SQL25% and AutoCAD18% are listed; the other 10 entries are NA. The denominator is linked, deduplicated advertisements, not worker usage, AI adoption, ability scores or uniform entry conditions.
Limitations of use：Industry distribution uses U.S. coverage and does not establish a mainland Chinese mapping.
Limitations of use：Occupational and activity scope must match; it does not establish individual outcomes or authority across jurisdictions.
Limitations of use：Occupational and activity scope must match; it does not establish individual outcomes or authority across jurisdictions.
Limitations of use：Editorial ratings use the existing occupational responsibilities and AI task analysis on this page. They are not adoption rates, measured effects, job-disappearance or personal-unemployment probabilities, or official scores from Stanford or another external institution. No measured time weights or future robot deployment are assumed.
Insufficient evidence: this page has not obtained Chinese exact national occupational wages, U.S. regional wage percentiles, separate AI exposure and adoption or employment and wage effects for this occupation, specific assessment validity or a recruitment sample. Verified U.S. 2025 national and four industry wages and 2025–2035 direct projections are publicly presented; available data are not falsely left missing. Unknowns do not exempt G1 exercise materials, self-checking or current field and visual review.
Big Five Personality Test · MBTI Personality Test · Intelligence and Reasoning Test · Emotional Intelligence Test
Data and compliance explanation | Collect and analyze data according to authorization, disclosure, confidentiality and personal information requirements. Manage citizens' personal information and controlled geographic information according to minimum necessity, authority and retention periods, and retain processing records. Do not send controlled or unpublished data to unauthorized environments or use them for external demonstrations. Research involving human participants or sensitive topics follows ethical review requirements. Immediately pause, report and review conflicts in data definitions, boundary or projection errors, potentially misleading results or suspected data leaks according to procedures.
| Core principles of adjacent roles | Most roles in the same group and adjacent roles aim to support understanding and decisions with verifiable data and methods. Differences concern objects, scales, outputs and levels of authorization: some focus on spatial phenomena, regional distributions and explanations; others on spatial data management, systems and mapping; maps, imagery and photogrammetry; datums, control networks, coordinates and elevations; sampling and statistical inference; or modeling and data products. |
| Main objects and basis | This occupation's main objects and bases | Objects include regions, populations, physical and cultural characteristics and their spatial distributions; geographic data sources, years, boundaries, coordinates and statistical coverage; thematic maps, data products and analysis conclusions. Bases include disciplinary methods, data sources, metadata and reproducibility requirements; disclosure, confidentiality, personal information and ethical review requirements; and rules from statistical, surveying and mapping, and geographic information authorities. | Main objects and bases of adjacent roles | Geographic information technicians use spatial databases, data models, spatial analysis and mapping specifications; cartographers and photogrammetrists use map design specifications and image processing and photogrammetric computation requirements; geodetic surveyors use geodetic datums, control networks and surveying standards; statisticians use sampling methods, experimental design, statistical inference and uncertainty requirements; and data scientists use machine learning methods, data quality, modeling and engineering implementation requirements. |
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| Core process | This occupation's core process | Confirm research or application questions and data definitions; collect and compile data and record metadata; perform coordinate, projection, topology and quality control; conduct spatial analysis, statistics and mapping; explain results, limitations and uncertainty; review, publish or deliver, and archive data and methods. Every step must be recorded under data, quality and confidentiality procedures and be reviewable by supervisors and peers. | Core processes of adjacent roles | Geographic information technicians mainly handle data ingestion, spatial analysis, mapping, and system operation and maintenance; cartographers and photogrammetrists handle image processing, photogrammetric computations and map design; geodetic surveyors handle datum confirmation, observations, adjustment and deliverable submission; statisticians handle sampling, experimental or observational study design and statistical inference; and data scientists handle data cleaning, features, modeling, validation and deployment. |
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| Main outputs | This occupation's main outputs | Verifiable research or analysis plans, data-source registries and metadata, compiled geographic data, spatial analysis and statistical results, thematic maps, drawings and data products, research or analysis explanations including methods, limitations and uncertainty, and records of data and method archiving and publication or delivery. | Main outputs of adjacent roles | Geographic information technicians produce spatial datasets, databases, thematic maps and system operation and maintenance records; cartographers and photogrammetrists produce maps, image deliverables and photogrammetric reports; geodetic surveyors produce control deliverables, coordinates, elevations, databases and quality explanations; statisticians produce statistical designs, inference conclusions and uncertainty explanations; and data scientists produce models, assessments and data product reports. |
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| Responsible party | Responsible parties in this occupation | You are responsible for your data sources, processing methods, analysis results, drawings and records, and for checks and reviews meeting definitional and reproducibility requirements. Appropriately authorized roles or organizations decide under procedures on use and external provision of citizens' personal information and controlled or state-secret data, ethical review, clinical or policy conclusions, major disputes and topics sensitive to public opinion. This occupation does not replace those decisions. | Responsible parties in adjacent roles | Responsibilities in the same group and adjacent roles are usually defined by the organization, methodological standards, qualifications and authorization, and concern projects, clients, the public, data security and methodological reliability. |
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| Authority and approval | Authority and approval in this occupation | External publication and provision of research or analysis plans, data acquisition, spatial analysis results, thematic maps and data products must stay within organizational and project authorization and data disclosure, confidentiality, personal information and ethics requirements. Collection, sharing and cross-border transfer of citizens' personal information and controlled or state-secret data, use of conclusions for policy, commerce or public communication, and ethical review and sensitive topics require approval from or handover to the appropriate roles or organizations under procedures. Do not publish or provide materials without authority. | Authority and approval in adjacent roles | Authority in the same group and adjacent roles comes from organizational authorization, methodological standards and procedures. It generally does not include independently deciding on data provision, publication of conclusions or ethical judgments beyond one's authority or scope. Hand over personal information, controlled data and ethical review matters to the appropriate roles or organizations. |
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| Conclusion boundaries | Conclusion boundaries in this occupation | Research or analysis conclusions state only verifiable data sources, methods, results and limitations, distinguishing robust results from those sensitive to assumptions. Do not make unauthorized judgments or promises on matters beyond your authority, including policy, legal or ethical conclusions and provision of controlled data. Pause and escalate or hand over conflicts in data definitions, boundary or projection errors, potentially misleading results or suspected data leaks. Definitions must also withstand review by supervisors, peers, data-management roles and competent authorities. | Conclusion boundaries in adjacent roles | Conclusions in the same group and adjacent roles are generally limited to the project, method and responsibilities involved, and usually do not determine policy discretion, legal liability, clinical conclusions or appraisal conclusions. Cross-disciplinary conclusions and those used for legal, policy or ethical purposes have scope limitations. |
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Checking essentials | This occupation often involves field surveys, fieldwork, data compliance, personal information, controlled data, computing resources and intellectual property. Common requirements include data and confidentiality training, ethics training, safety and fieldwork requirements, and account and equipment management.
Checking essentials | U.S. O*NET places this occupation in Job Zone Four (considerable preparation), with an SVP range from 7.0 to below 8.0. Most require a four-year bachelor's degree, and some roles require a master's or doctorate. Direct BLS Table 1.2 (2025–2035) lists typical entry education as a bachelor's degree, no related work experience requirement and no on-the-job training in the 19-3092 row. This description does not replace employer and competent authority requirements for education, training, ethics and safety.
Checking essentials | Typical workweeks in this occupation are reported by 55% as exceeding 40 hours. Surveys, project milestones and paper or report cycles often create periods of high intensity. Pay commonly includes base salary, project or funding allowances and output rewards. Confirm working hours, allowances, performance and assessment definitions in writing, and consider job-stability differences caused by funding and project cycles.
Checking essentials | Interfaces with data providers, geographic information platforms, planning or policy departments, statistics and ethical review teams, and outsourced analysis providers determine responsibility boundaries for data, deliverables and publication. Clarify them beforehand.
Checking essentials | Traceability and recording requirements for original data, processing scripts, methods, parameters, intermediate results, metadata, publication and modifications determine data, quality, confidentiality and responsibility boundaries. Clarify templates, deadlines, correction, archiving, authority and retention rules beforehand; controlled and personal information data also require confidentiality and minimum necessity.
Work context emphasizes email 90% daily; controlled indoor environments 75% daily; prolonged sitting 60% more than half the time; importance of being exact or highly accurate 30% extremely important and 35% very important; time pressure 45% weekly or more often but not daily; working in or contributing to a team 50% very important; and typical workweeks 55% more than 40 hours.
Interest and work-style data only support self-questioning, not hiring or performance conclusions.
Data-definition and methodological judgments and explanations of conclusions depend on professional knowledge and experience; digital tools support data processing, statistics, mapping and recording.
Data acquisition and publication authority follows organizational authorization and disclosure, confidentiality and ethics requirements; tools and software do not confer authority.
Calculation answers | A density 1000/2=500 people/km²; B800/1=800 people/km². Whole area 1800/3=600 people/km²; do not take the simple average (500+800)/2=650. v2 is 50 people/km² higher, namely 50/600=8.33%. A service points per thousand residents 6/1000×1000=6; B4/800×1000=5. v2's 60 and 50 are both 10 times the correct values, not resident coverage rates of 6%/5%.
Checking answers | Do not directly combine v0 area with 2025 population. 1600 is only a mixed-definition division result and cannot be compared with v1 density. Coordinate CRS, datum and axis order are UNKNOWN, so no transformations or overlays are allowed. Service-point rates of 6 versus 5 do not establish equity, accessibility or sufficient capacity; distance, group and capacity data are missing. From 16:00 to 16:04, there have been 4 minutes without confirmation; 16 minutes remain until 16:20. This is not approval or acknowledgment of receipt. U's request for real household coordinates has no supporting materials or authorization; do not provide them.
List CRS/datum/boundary crosswalk, distance/capacity/group data and authorization classification as UNKNOWN and missing materials. Do not choose a seemingly reasonable parameter or equity conclusion yourself.
The handover draft must state Q awaiting review, T awaiting progress confirmation and U's request awaiting verification, recording the actual exercise times 16:00/16:04/16:20. Describe only this exercise's paper actions; do not write “approved” without confirmation.
Finally, self-check item by item against this page's answers and record difficulties in this exercise: simple versus weighted averages, per-thousand rates, boundaries across years, unknown coordinates, equity inference and authorization confirmation. Do not generate real geographic data.
Work samples only record this learning performance, not long-term fit, actual research competence or any authority over data, surveying and mapping, publication or ethics.
Deliver paper drafts without presenting them as a real survey, formal maps or approved deliverables.
| Design results for analysis scripts, drawings, results and limitation explanations |
| Practical testing does not establish the ability to publish conclusions independently. |
| Onboarding and probation | Compliance with data, quality, reproducibility, confidentiality, ethics and publication management procedures | Form records for data sources, analysis scripts, review, publication and reporting | Duties and authorization depend on organizational and project arrangements and assessments. |
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The next step only identifies specific training; seven days do not determine long-term competence or whether to abandon the occupation.
| Research, university and professional analysis roles |
| Meet knowledge and research-experience requirements for research positions and independent projects |
| Common in research and university roles |
| Complete the relevant postgraduate education and thesis or research training |
| Check courses, program duration or organizational arrangements; this page estimates no uniform duration. |
| Follow organizational and role requirements; education does not automatically grant publication authority. |
| Geographic information, spatial analysis, statistics and programming skills | Roles requiring skills checks against actual tasks | Meet daily data processing and analysis requirements | Check methods and actual advertisements; these are not uniform conditions for the entire occupation. | Train through courses, projects and internships, and pass assessments. | Check courses, program duration or organizational arrangements; this page estimates no uniform duration. | Skills do not automatically grant access to controlled data or publication authority. |
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| Data protection and confidentiality training | Roles involving personal information and controlled data | Learn applicable data protection, confidentiality and processing procedures; check actual processing authority separately. | Required according to the role | Complete data protection, confidentiality, approval and submission-to-authorities training and obtain authorization. | Check courses, program duration or organizational arrangements; this page estimates no uniform duration. | Follow competent authority and organizational requirements; do not exceed the scope of authority. |
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| Ethical review and informed consent training | Projects assessed for risk as falling within ethical review applicability | Meet ethics requirements for research involving people | Based on applicability to the actual project | Apply for review according to regulations and project scope, and receive training under organizational arrangements; training does not equal review approval. | Check courses, program duration or organizational arrangements; this page estimates no uniform duration. | Follow organizational ethics committee and regulatory requirements. |
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| Field and outdoor safety training | Fieldwork and survey roles | Meet field and outdoor safety requirements | Required for field roles | Complete organizational safety training and arrange personal protection. | Check courses, program duration or organizational arrangements; this page estimates no uniform duration. | Follow organizational and regulatory requirements, with refresher training as needed. |
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Qualification boundary (three) | Verify education, skills, degree level, hiring, authorization, and responsibilities for publication, data provision and ethical review separately. The preparation items listed here are directions for searching and checking, not any organization's formal qualification checklist. If they conflict with competent authority or organizational requirements, the latter prevail.
Qualification boundary (four) | This page offers no promises about individual abilities or pay and provides no data protection, legal, ethical or policy opinions.
Typical responsibilities：Take responsibility for data workflows, platforms, methodological standards, mentoring, security and quality implementation, and technical improvements.
Promotion evidence：Method, technical review, mentoring and quality records.
Qualification boundaries：Relevant role authorization; technical review and mentoring records.
Next steps：Learn big data, cloud environments, geographic computation and data governance methods.
Typical responsibilities：Coordinate data, platforms, metadata, methodological standards, access, security and outsourcing, handle complex and disputed matters, and guide newcomers.
Promotion evidence：Coordination conclusions; procedure, technical quality and training documents.
Qualification boundaries：Relevant management appointment or organizational authorization.
Next steps：Improve systems, data, security, emergency-response and training mechanisms.
Typical responsibilities：Take responsibility for visualization standards, presentation specifications, tools, mentoring, quality and compliance implementation, and technical improvements.
Promotion evidence：Method, technical review, mentoring and quality records.
Qualification boundaries：Relevant role authorization; technical review and mentoring records.
Next steps：Learn interactive and automated visualization, accessibility and ethical data-presentation methods.
Typical responsibilities：Coordinate deliverable presentation, communication, publication, authorship, intellectual property, confidentiality and audience communication, handle complex and disputed matters, and guide newcomers.
Promotion evidence：Coordination conclusions; procedure, presentation, communication and training documents.
Qualification boundaries：Relevant management appointment or organizational authorization.
Next steps：Improve systems, presentation standards, communication, emergency-response and training mechanisms.
Limitations of use：Refer to regulations and requirements published by competent authorities.
Limitations of use：Refer to regulations and approval requirements published by competent authorities.
