Geospatial Analysis

中级data最低上下文：64K

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.

geospatialgisgeopandasmappingremote-sensingsatellitespatial-analysiscoordinates

使用场景

  • 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

示例提示词

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.

推荐模型

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

兼容工具

claude-codecursorkiroany

模态

输入: text, code, file
→
输出: text, code

相关 Skills

data-analysisscientific-visualization

作者

OpenModels Community

@openmodelsrun