Analyze physical, survey, or geographic data.

Analyze physical, survey, or geographic data. is a detailed work activity in O*NET — a concrete unit of work shared across 7 occupations and seen in 8 occupation-specific tasks. It rolls up into the broader work activity Analyze environmental or geospatial data. in Analyzing Data or Information .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 8 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 8 (100%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 1 of these tasks, with a mean mapped-usage share of 0.013% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Analyze data on conditions such as site location, drainage, or structure location for environmental reports or landscaping plans. · Landscape Architects · importance 4.5 · exposure with tools
• Assess the quality of control data to determine the need for additional survey data for engineering, construction, or other projects. · Geodetic Surveyors · importance 4.2 · exposure with tools
• Integrate remotely sensed data with other geospatial data. · Remote Sensing Technicians · importance 4.1 · exposure with tools
• Analyze survey objectives and specifications to prepare survey proposals or to direct others in survey proposal preparation. · Surveyors · importance 4.0 · exposure with tools
• Analyze data to recommend placement of wells and supplementary processes to enhance production. · Petroleum Engineers · importance 4.0 · exposure with tools
• Examine and analyze data from ground surveys, reports, aerial photographs, and satellite images to prepare topographic maps, aerial-photograph mosaics, and related charts. · Cartographers and Photogrammetrists · importance 4.0 · exposure with tools
• Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary. · Remote Sensing Scientists and Technologists · importance 3.9 · exposure with tools
• Analyze storm water or floodplain drainage systems to control erosion, stabilize river banks, repair channel streams, or design bridges. · Water/Wastewater Engineers · importance 3.7 · exposure with tools

Occupations that perform this

• Landscape Architects
• Geodetic Surveyors
• Remote Sensing Technicians
• Cartographers and Photogrammetrists
• Petroleum Engineers
• Remote Sensing Scientists and Technologists
• Water/Wastewater Engineers

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-analyze-physical-survey-or-geographic-data,
  title  = {Analyze physical, survey, or geographic data.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/analyze-physical-survey-or-geographic-data}
}