CSV Converter — Convert Geospatial CSV Files Online Free
CSV files containing latitude and longitude columns can be converted to full GIS vector formats using Maparz. GDAL parses the coordinate columns and produces Point features in any supported output format. When converting GIS data to CSV, each feature's geometry centroid is exported as separate X and Y columns.
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About CSV format
CSV (Comma-Separated Values) files containing geometry data typically include latitude and longitude columns (or X/Y columns for projected data). Many data providers distribute point datasets as CSV because they are easy to open in Excel, Python, and R. When converting from a vector format to CSV, Maparz outputs an X (longitude) and Y (latitude) column along with all attribute data. To convert CSV to GeoJSON, your file must have columns identifiable as longitude (x, lon, lng, longitude) and latitude (y, lat, latitude).
Strengths
- +Opens in Excel, Google Sheets, any spreadsheet
- +Human-readable and editable
- +Lightweight for point data
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Frequently asked questions
Q.What column names should my CSV use for coordinates?
GDAL auto-detects common column names: latitude/longitude, lat/lon, x/y. If your CSV uses different names, rename the columns to 'latitude' and 'longitude' before uploading.
Q.Can I convert a CSV with geometry in WKT format?
Basic WKT geometry in a column named 'WKT' or 'geometry' may be recognised by GDAL. For reliable WKT conversion, use ogr2ogr locally with the -oo GEOM_POSSIBLE_NAMES flag.
Q.Why does my CSV to Shapefile conversion fail?
The most common cause is a missing or unrecognised coordinate column. Ensure your CSV has columns named 'latitude' and 'longitude' with decimal degree values, not degrees-minutes-seconds.