pysal/giddy: giddy 2.1.0

Main Authors: Wei Kang, Sergio Rey, Philip Stephens, Nicholas Malizia, Levi John Wolf, Stefanie Lumnitz, jlaura, Charles Schmidt, eli knaap, James Gaboardi, Andy Eschbacher
Format: info software Journal
Terbitan: , 2019
Online Access: https://zenodo.org/record/2633309
Daftar Isi:
  • 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.: Full Rank Markov Geographic Rank Markov 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.