Analyze geological or geographical data.
Detailed work activity
Analyze geological or geographical data. is a detailed work activity in O*NET — a concrete unit of work shared across 9 occupations and seen in 17 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 17 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 16 (94%) 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 2 of these tasks, with a mean mapped-usage share of 0.009% 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.
- Manage or analyze data obtained from remote sensing systems to obtain meaningful results. · Remote Sensing Scientists and Technologists · importance 4.6 · exposure with tools
- Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS). · Remote Sensing Scientists and Technologists · importance 4.5 · exposure with tools
- Integrate other geospatial data sources into projects. · Remote Sensing Scientists and Technologists · importance 4.4 · exposure with tools
- Analyze and interpret geological data, using computer software. · Geoscientists, Except Hydrologists and Geographers · importance 4.4 · exposure with tools
- Analyze and interpret geological, geochemical, or geophysical information from sources, such as survey data, well logs, bore holes, or aerial photos. · Geoscientists, Except Hydrologists and Geographers · importance 4.3 · exposure with tools
- Analyze data from research conducted to detect and measure physical phenomena. · Physicists · importance 4.2 · exposure with tools
- Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials. · Precision Agriculture Technicians · importance 4.1 · exposure with tools
- Correct raw data for errors due to factors such as skew or atmospheric variation. · Remote Sensing Technicians · importance 4.1 · exposure with tools
- Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions. · Precision Agriculture Technicians · importance 4.0 · exposure with tools
- Analyze data from harvester monitors to develop yield maps. · Precision Agriculture Technicians · importance 4.0 · exposure with tools
- Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights. · Remote Sensing Technicians · importance 3.9 · exposure with tools
- Demonstrate the applications of geospatial technology, such as Global Positioning System (GPS), geographic information systems (GIS), automatic tractor guidance systems, variable rate chemical input applicators, surveying equipment, or computer mapping software. · Precision Agriculture Technicians · importance 3.8 · no direct exposure
- Prepare or review professional, technical, or other reports regarding sampling, testing, or recommendations of data analysis. · Geological Technicians, Except Hydrologic Technicians · importance 3.8 · exposure with tools
- Perform spatial analysis and modeling using geographic information system techniques. · Geography Teachers, Postsecondary · importance 3.3 · exposure with tools
- Compile and evaluate hydrologic information to prepare navigational charts and maps and to predict atmospheric conditions. · Hydrologists · importance 2.8 · exposure with tools
- Evaluate and interpret seismic data with the aid of computers. · Geological Technicians, Except Hydrologic Technicians · exposure with tools
- Research, compile, analyze and organize information from maps, reports, investigations, and books for use in reports and special projects. · Urban and Regional Planners · exposure with tools
Occupations that perform this
- Remote Sensing Scientists and Technologists
- Geoscientists, Except Hydrologists and Geographers
- Physicists
- Precision Agriculture Technicians
- Remote Sensing Technicians
- Geological Technicians, Except Hydrologic Technicians
- Geography Teachers, Postsecondary
- Hydrologists
- Urban and Regional Planners
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.
Cite this page
Singulariki. "Analyze geological or geographical data.." Singulariki: a source-backed encyclopedia of work. Built from 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. https://singulariki.com/detailed-activities/analyze-geological-or-geographical-data
Singulariki. (2026). Analyze geological or geographical data.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/analyze-geological-or-geographical-data
@misc{singulariki-analyze-geological-or-geographical-data,
title = {Analyze geological or geographical 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-geological-or-geographical-data}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.