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  1. 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 237 70

  2. Python tools for geographic data

    Python 3.3k 732

  3. pysal/pysal Public

    PySAL: Python Spatial Analysis Library Meta-Package

    Jupyter Notebook 1.1k 280

  4. Explore and download data from Census APIs

    Python 134 41

  5. bayespatial Public

    spatial statistical/econometric modeling in pymc3 & stan

    HTML 21 6

  6. wampl Public

    Another Wes Anderson palette implementation

    Jupyter Notebook 27 5

305 contributions in the last year

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Activity overview
Contributed to gdsbook/book, pysal/libpysal, ljwolf/ljwolf.github.io and 17 other repositories

Contribution activity

August 2022

ljwolf has no activity yet for this period.

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