CoGran
A command-line tool for combining geospatial data across different spatial units using five statistical methods.
What is CoGran?
CoGran is a command-line tool for combining quantitative geospatial data that exists at different spatial granularities, such as postal code districts, wards, or urban districts. It solves the problem of analyzing correlations between datasets—like election results and income—when they are not aligned to the same geographic boundaries. The tool provides five statistical methods to transform data from one spatial unit to another.
Data journalists, GIS analysts, and researchers working with geospatial statistics who need to integrate datasets with mismatched geographic boundaries for visualization or analysis.
Developers choose CoGran for its specialized focus on spatial data reaggregation, offering multiple well-documented statistical methods in a single command-line interface, which is particularly valuable for reproducible geospatial workflows in journalism and research.
Overview
CoGran - A command line tool for combining data of different spatial granularity
Use Cases
Best For
- Visualizing correlations between election results and socioeconomic data across different boundaries
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