Transform research addresses into spatial data. Create publication-ready maps, analyze geographic patterns, and visualize field work without expensive GIS software or programming skills.
Start Your Research MapEvery discipline that studies people, places, or events has a spatial component. Yet researchers spend hours manually geocoding addresses, wrestling with expensive GIS software licenses, or writing custom scripts to convert locations to coordinates.
CSV2GEO gives researchers a simple, affordable alternative: upload your spreadsheet, get coordinates back in minutes, and export to any format your analysis requires.
Researchers from hundreds of universities use CSV2GEO for spatial analysis across nearly every field of study.
Disease outbreak mapping, health facility access, epidemiological studies
Survey respondent mapping, demographic analysis, inequality studies
Sample site mapping, pollution source analysis, conservation studies
Land use analysis, transportation studies, housing research
Business location analysis, market studies, regional economics
Historical event mapping, archival location analysis, digital humanities
Voter analysis, campaign studies, policy impact mapping
Community studies, migration patterns, neighborhood analysis
Epidemiologists studying disease spread need to quickly visualize case locations, identify clusters, and analyze proximity to environmental factors.
With CSV2GEO: Upload the anonymized address data (city/zip level for privacy compliance), geocode all cases in minutes, and immediately see clustering patterns on a map. Export coordinates to R or Python for spatial statistics. Create a time-lapse visualization showing outbreak progression. Generate publication-quality maps for journal submission.
Researchers studying community outcomes need to place survey respondents or study participants in geographic context, linking them to Census data, school districts, or other spatial boundaries.
With CSV2GEO: Geocode participant addresses, then export with Census tract identifiers attached. CSV2GEO can append Census data including demographic characteristics, socioeconomic indicators, and more. No need to manually match addresses to tracts in GIS software. Spend time on analysis, not data preparation.
Field researchers collect samples from dozens or hundreds of locations. Converting those locations to coordinates for GIS analysis often requires tedious manual entry.
With CSV2GEO: Upload the location spreadsheet, geocode addresses and intersection descriptions, review any ambiguous matches, and export as Shapefile or GeoJSON for direct import into ArcGIS, QGIS, or any GIS software. Hours of manual work reduced to minutes.
Historians and digital humanists increasingly use mapping to visualize historical events, migration patterns, and archival collections. But historical addresses often don't match modern geocoders.
With CSV2GEO: Upload the historical addresses. Many will match directly; review flagged addresses that may have changed. Export as KML for Google Earth, embed an interactive map in the digital exhibit, or export GeoJSON for custom visualization with Leaflet or Mapbox. Tell the spatial story of history.
Students learning GIS and spatial analysis shouldn't spend half their project time on data preparation. They should be learning analytical concepts.
With CSV2GEO: Students upload their data, get coordinates in minutes, and move directly to analysis: buffer analysis around stores, demographics of underserved areas, accessibility modeling. The instructor can focus teaching time on spatial concepts, not geocoding troubleshooting.
Upload CSV, Excel, or paste directly. Handles single-column addresses or multi-column (street, city, state, zip). Works with messy real-world data.
Optionally append Census tract, county FIPS, congressional district, timezone, and other geographic identifiers to each record.
Download as CSV (for R/Python/Stata), GeoJSON (for web mapping), Shapefile (for ArcGIS), or KML (for Google Earth).
Create clean, customizable maps suitable for journal submission. Control colors, labels, and styling without design software.
Data is processed and deleted. We don't store your research data. Document our privacy practices for your IRB application.
Predictable flat-rate pricing that fits research budgets. No per-lookup fees that spiral as your dataset grows.
Join researchers from hundreds of universities who use CSV2GEO for spatial analysis. Start with a free trial, no credit card required.
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