scientific-geospatial-analysis
CommunityTransform geospatial data into insights.
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Geospatial data analysis often requires stitching together multiple libraries and workflows for vector and raster data, statistics, and interactive visualization. This skill provides a cohesive pipeline to preprocess GIS data, perform spatial analysis, and render clear maps.
Core Features & Use Cases
- Vector data processing with GeoPandas: read shapefiles/GeoJSON, reproject, and summarize geometries.
- Raster data analysis with Rasterio: read GeoTIFFs, raster calculations, and band operations.
- Spatial statistics: global Moran's I and Local Indicators of Spatial Association (LISA) to detect clustering.
- Spatial interpolation: Kriging-based surface estimation for predictive mapping.
- Interactive visualization: Folium/Kepler.gl for web maps and map-based reporting.
- Use Case: Assess habitat suitability by processing GBIF records, performing CRS alignment, detecting spatial autocorrelation, and visualizing results on an interactive map.
Quick Start
Load a geospatial dataset (vector or raster), transform it to the target CRS, run spatial analyses (Moran's I, LISA, Kriging if needed), and generate an interactive map.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-geospatial-analysis Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-geospatial-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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