PySAL
Python Spatial Analysis Library: an ecosystem of packages for spatial statistics and econometrics.
BSD-3-Clause
About
PySAL, the Python Spatial Analysis Library, is an open-source, NumFOCUS-affiliated ecosystem of packages for spatial data science. It federates specialized libraries covering exploratory spatial data analysis, spatial weights, spatial econometrics, segregation, and point pattern analysis. PySAL builds on GeoPandas, Shapely, and the scientific Python stack.
Features
- Exploratory spatial data analysis
- Spatial econometrics and regression models
- Spatial weights and contiguity matrices
- Segregation, inequality, and point pattern analysis
- Federated ecosystem of specialized packages
Related tools
GeoDjango
Django's geographic web framework for spatial models, queries, and GIS web apps.
deck.gl
WebGL-powered framework for visual exploratory data analysis of large datasets.
QGIS
Free and open-source cross-platform desktop GIS. Create, edit, visualize, analyze and publish geospatial data.
kepler.gl
Powerful open-source geospatial analysis tool for large-scale datasets. Built by Uber.
Details
- Type
- Library
- Pricing
- open-source
- License
- BSD-3-Clause
- Hosting
- Self-host