Geospatial Analysis

СреднийdataМинимальный контекст: 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

Варианты использования

  • 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

Пример промпта

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.

Рекомендуемые модели

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

Совместимые инструменты

claude-codecursorkiroany

Модальности

Вход: text, code, file
→
Выход: text, code

Похожие Skills

data-analysisscientific-visualization

Автор

OpenModels Community

@openmodelsrun