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Tobler is a python package for areal interpolation, dasymetric mapping, and change of support.

tobler provides:

  • areal interpolation for intensive and extensive variables
  • use raster files to improve interpolation accuracy
    • areal interpolation assuming data should only be allocated to specific land types
    • model-based interpolation using regression approaches that incorporates auxiliary data
  • Much more to come!

Easily convert geospatial data from one polygonal representation to another:

Improve conversion accuracy by incorporating raster image data from satellites:


$ conda env create -f environment.yml
$ conda activate tobler 
$ python develop


PySAL-tobler is under active development and contributors are welcome.

If you have any suggestion, feature request, or bug report, please open a new issue on GitHub. To submit patches, please follow the PySAL development guidelines and open a pull request. Once your changes get merged, you’ll automatically be added to the Contributors List.


The project is licensed under the BSD license.


Award #1733705 Neighborhoods in Space-Time Contexts

Award #1831615 Scalable Geospatial Analytics for Social Science Research