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overlay_gpd

Combine two geospatial datasets using overlay operations like intersection, union, or difference to analyze spatial relationships and create new geographic features.

Instructions

Overlay two GeoDataFrames using geopandas.overlay. Args: gdf1_path: Path to the first geospatial file. gdf2_path: Path to the second geospatial file. how: Overlay method ('intersection', 'union', 'identity', 'symmetric_difference', 'difference'). output_path: Optional path to save the result. Returns: Dictionary with status, message, and output info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gdf1_pathYes
gdf2_pathYes
howNointersection
output_pathNo

Implementation Reference

  • The primary handler function implementing the 'overlay_gpd' MCP tool. It reads two geospatial files, performs a spatial overlay operation using geopandas.overlay with the specified method, optionally saves the result, and returns metadata and a preview.
    @gis_mcp.tool() def overlay_gpd(gdf1_path: str, gdf2_path: str, how: str = "intersection", output_path: str = None) -> Dict[str, Any]: """ Overlay two GeoDataFrames using geopandas.overlay. Args: gdf1_path: Path to the first geospatial file. gdf2_path: Path to the second geospatial file. how: Overlay method ('intersection', 'union', 'identity', 'symmetric_difference', 'difference'). output_path: Optional path to save the result. Returns: Dictionary with status, message, and output info. """ try: gdf1 = gpd.read_file(gdf1_path) gdf2 = gpd.read_file(gdf2_path) if gdf1.crs != gdf2.crs: gdf2 = gdf2.to_crs(gdf1.crs) result = gpd.overlay(gdf1, gdf2, how=how) if output_path: output_path_resolved = resolve_path(output_path, relative_to_storage=True) output_path_resolved.parent.mkdir(parents=True, exist_ok=True) result.to_file(str(output_path_resolved)) output_path = str(output_path_resolved) # Convert geometry to WKT for serialization preview_df = result.head(5).copy() if 'geometry' in preview_df.columns: preview_df['geometry'] = preview_df['geometry'].apply(lambda g: g.wkt if g is not None else None) preview = preview_df.to_dict(orient="records") return { "status": "success", "message": f"Overlay ({how}) completed successfully.", "num_features": len(result), "crs": str(result.crs), "columns": list(result.columns), "preview": preview, "output_path": output_path, } except Exception as e: logger.error(f"Error in overlay_gpd: {str(e)}") return {"status": "error", "message": str(e)}
  • MCP resource listing that documents 'overlay_gpd' as one of the available GeoPandas I/O operations, serving as a schema or directory for tool discovery.
    @gis_mcp.resource("gis://geopandas/io") def get_geopandas_io() -> Dict[str, List[str]]: """List available GeoPandas I/O operations.""" return { "operations": [ "read_file_gpd", "to_file_gpd", "overlay_gpd", "dissolve_gpd", "explode_gpd", "clip_vector", "write_file_gpd" ] }

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