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I'm looking for Python implementation for Delaunay triangulation based spatial weights. There are a lot of spatial weights techniques available in a Python geospatial library PySAL but Delaunay triangulation based weights are not there.

Where can I find a Python implementation to generate Delaunay triangulation based weights matrix for polygon data.

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    Did you look at scipy.spatial.delaunay? Tell us what you have tried so far. I always start with a Google search.
    – wingnut
    Commented May 20, 2021 at 4:07
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    Software Recommendations is the SE place for software recommendations. GIS SE tries to steer clear of opinion-based questions which will attract marketers forevermore.
    – Vince
    Commented May 20, 2021 at 4:21
  • @wingnut I researched that library earlier and it continuous. I was able to generate Delaunay triangulation for my polygon data after converting them to centroids. But i don't know how to finish it in the form of spatial weight matrix.
    – BetterCallMe
    Commented May 20, 2021 at 6:26

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As Lostman suggests, you can form the centroids for the polygons. To build weights, you can then use PySAL to form "voronoi weights" using the centroids as generator points, as shown in the pysal tutorial.

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