Geospatial Analysis

intermediatedataMin 64K context

Performs geospatial data analysis, mapping, and spatial statistics using GeoPandas, Shapely, Rasterio, and Folium. Supports vector and raster operations, coordinate transformations, spatial joins, buffer analysis, satellite imagery processing, choropleth mapping, and route optimization for GIS and remote sensing workflows.

geospatial gis geopandas mapping remote-sensing satellite spatial-analysis coordinates

Use Cases

Analyzing spatial distributions and clustering patterns
Processing satellite imagery for land use classification
Building interactive maps with Folium or Kepler.gl
Performing spatial joins and proximity analysis
Route optimization and network analysis
Creating choropleth maps from census or survey data

Example Prompt

I have a GeoJSON file with city boundaries and a CSV with population data by district.
Build a geospatial analysis pipeline that:

1. Load and merge spatial + tabular data (GeoPandas)
2. Calculate population density per district
3. Perform spatial autocorrelation analysis (Moran's I)
4. Identify hot spots and cold spots (LISA)
5. Create a choropleth map with interactive tooltips (Folium)
6. Calculate distances between districts (centroids)
7. Export results as GeoPackage

Generate complete Python code with GeoPandas, PySAL, and Folium.

Recommended Models

claude-opus-4-6 gpt-5 gemini-2-5-pro

Compatible Tools

claude-codecursorkiroany

Modalities

Input: text, code, file

→

Output: text, code

Related Skills

data-analysis scientific-visualization

Author

OpenModels Community

@openmodelsrun