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@pysal @geopandas @GeoDaCenter @spatialucr @geogbristol @gdsbook @cenpy-devs

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  1. gdsbook/book Public

    This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

    Jupyter Notebook 343 104

  2. geopandas/geopandas Public

    Python tools for geographic data

    Python 4.7k 953

  3. pysal/pysal Public

    PySAL: Python Spatial Analysis Library Meta-Package

    Python 1.4k 306

  4. cenpy-devs/cenpy Public

    Explore and download data from Census APIs

    Python 185 44

  5. bayespatial Public

    spatial statistical/econometric modeling in pymc3 & stan

    HTML 25 6

  6. wampl Public

    Another Wes Anderson palette implementation

    Jupyter Notebook 27 5

333 contributions in 2024

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Activity overview

Contributed to pysal/libpysal, geogbristol/QUSS, ljwolf/ljwolf.github.io and 15 other repositories
Loading A graph representing ljwolf's contributions from January 01, 2024 to December 31, 2024. The contributions are 83% commits, 7% issues, 5% code review, 5% pull requests.

Contribution activity

December 2024

Created 11 commits in 1 repository
28 contributions in private repositories Dec 6 – Dec 18
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