Academic Geocoding & Research Mapping

Transform research addresses into spatial data. Create publication-ready maps, analyze geographic patterns, and visualize field work without expensive GIS software or programming skills.

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Research Data Deserves Better Than Manual Lookups

Every 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.

Student & Academic Pricing: CSV2GEO offers affordable batch pricing for educational use. Process thousands of addresses for the cost of a few textbooks, not thousands in software licenses.

Used Across Disciplines

Researchers from hundreds of universities use CSV2GEO for spatial analysis across nearly every field of study.

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Public Health

Disease outbreak mapping, health facility access, epidemiological studies

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Social Sciences

Survey respondent mapping, demographic analysis, inequality studies

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Environmental Science

Sample site mapping, pollution source analysis, conservation studies

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Urban Planning

Land use analysis, transportation studies, housing research

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Economics

Business location analysis, market studies, regional economics

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History & Humanities

Historical event mapping, archival location analysis, digital humanities

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Political Science

Voter analysis, campaign studies, policy impact mapping

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Sociology

Community studies, migration patterns, neighborhood analysis

Focus on Research, Not Data Wrangling

90% Less time vs manual geocoding

$0 Software license fees

5 min To create publication-ready map

Any Export format you need

Research Use Cases

Public Health: Mapping Disease Outbreaks

Epidemiologists studying disease spread need to quickly visualize case locations, identify clusters, and analyze proximity to environmental factors.

Scenario: A public health researcher is studying foodborne illness outbreaks. They have 2,300 case reports with home addresses spanning 5 years. They need to identify spatial clusters that might indicate common exposure sources, like contaminated food distribution centers.

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.

Sociology: Analyzing Neighborhood Effects

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.

Scenario: A PhD candidate is studying the relationship between neighborhood characteristics and educational outcomes. Their IRB-approved survey collected addresses from 1,850 participants. They need to link each respondent to Census tract demographics.

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.

Environmental Science: Mapping Sample Sites

Field researchers collect samples from dozens or hundreds of locations. Converting those locations to coordinates for GIS analysis often requires tedious manual entry.

Scenario: A research team collected water quality samples from 340 sites across a watershed. Field notes include addresses or location descriptions ("intersection of Route 9 and Mill Road"). They need coordinates for spatial analysis in ArcGIS.

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.

Digital Humanities: Historical Event Mapping

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.

Scenario: A history professor is creating an interactive map of Civil Rights movement events for a digital exhibit. They have a spreadsheet of 450 locations compiled from archives, newspapers, and oral histories spanning 1955-1970.

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.

Student Projects: Learning Spatial Analysis

Students learning GIS and spatial analysis shouldn't spend half their project time on data preparation. They should be learning analytical concepts.

Scenario: An urban planning class is analyzing food desert patterns for a semester project. Each student group has a list of grocery stores, convenience stores, and restaurants for their assigned city, collected from business directories.

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.

Features Researchers Need

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Flexible Input

Upload CSV, Excel, or paste directly. Handles single-column addresses or multi-column (street, city, state, zip). Works with messy real-world data.

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Data Enrichment

Optionally append Census tract, county FIPS, congressional district, timezone, and other geographic identifiers to each record.

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Research-Ready Exports

Download as CSV (for R/Python/Stata), GeoJSON (for web mapping), Shapefile (for ArcGIS), or KML (for Google Earth).

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Publication Maps

Create clean, customizable maps suitable for journal submission. Control colors, labels, and styling without design software.

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IRB-Friendly Privacy

Data is processed and deleted. We don't store your research data. Document our privacy practices for your IRB application.

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Grant-Budget Friendly

Predictable flat-rate pricing that fits research budgets. No per-lookup fees that spiral as your dataset grows.

Ready to Map Your Research Data?

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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