Welcome to cuSpatial’s documentation!

cuSpatial is a general, vector-based, GPU accelerated GIS library that provides functionalities to spatial computation, indexing, joins and trajectory computations. Example functions include:

• Spatial indexing and joins supported by GPU accelerated point-in-polygon

• Trajectory identification and reconstruction

• Haversine distance and grid projection

cuSpatial integrate neatly with GeoPandas and cuDF. This enables you to accelerate performance critical sections in your GeoPandas workflow using and cuSpatial and cuDF.

Contents

• User Guide
  • cuSpatial Python User’s Guide
• API Reference
  • Spatial
  • Trajectory
  • GeoPandas Compatibility
  • IO
• Developer Guide
  • Creating a Development Environment
  • Build and Install cuSpatial From Source
  • How to Contribute to cuSpatial
  • cuSpatial Library Design
  • Benchmarking cuSpatial

Indices and tables

• Index

• Search Page