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Published April 8, 2019 | Version v2.1.0
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pysal/giddy: giddy 2.1.0

  • 1. Center for Geospatial Sciences
  • 2. Center for Geopatial Sciences, University of California, Riverside
  • 3. @telluslabs
  • 4. USGS Astrogeology
  • 5. @spatialucr
  • 6. Florida State University
  • 7. @CartoDB

Description

This release features the addition of two rank-based Markov classes proposed in S. J. Rey. Rank-based Markov chains for regional income distribution dynamics. Journal of Geographical Systems, 16(2):115–137, 2014.:

A Jupyter notebook was prepared to illustrate the application of these two classes to reveal interesting spatiotemporal patterns of income distribution dynamics in the United States 1929-2009.

Full release details are reported in CHANGELOG.md.

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pysal/giddy-v2.1.0.zip

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