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Rtree: Spatial indexing for Python¶

Rtree is a ctypes Python wrapper of libspatialindex that provides a number of advanced spatial indexing features for the spatially curious Python user. These features include:

  • Nearest neighbor search

  • Intersection search

  • Multi-dimensional indexes

  • Clustered indexes (store Python pickles directly with index entries)

  • Bulk loading

  • Deletion

  • Disk serialization

  • Custom storage implementation (to implement spatial indexing in ZODB, for example)

Documentation¶

  • Installation
    • *nix
    • Windows
  • Tutorial
    • Creating an index
    • Using Rtree as a cheapo spatial database
    • Serializing your index to a file
    • 3D indexes
    • ZODB and Custom Storages
  • Class Documentation
    • Index
    • Property
    • Item
  • Miscellaneous Documentation
    • Exceptions
    • Finder module
  • Changes
    • 1.2.0: 2024-01-19
    • 1.1.0: 2023-10-17
    • 1.0.1: 2022-10-12
    • 1.0.0: 2022-04-05
    • 0.9.3: 2019-12-10
    • 0.9.2: 2019-12-09
    • 0.9.0: 2019-11-24
    • 0.8: 2014-07-17
    • 0.7.0: 2011-12-29
    • 0.6.0: 2010-04-13
    • 0.5.0: 2009-08-06
    • 0.4.3: 2009-06-05
    • 0.4.2: 2009-05-25
    • 0.4.1: 2008-03-24
    • 0.4: 2008-01-24
    • 0.3: 26 November 2007
    • 0.2: 19 May 2007
    • 0.1: 13 April 2007
  • Performance
    • Use stream loading
    • Override dumps to use the highest pickle protocol
    • Use objects=’raw’
    • Adjust index properties
    • Limit dimensionality to the amount you need
    • Use the correct query method
  • History of Rtree
  • Index

  • Module Index

  • Search Page

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  • Rtree: Spatial indexing for Python
    • Documentation

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