pysal/giddy: giddy 1.2.0
| Main Authors: | Sergio Rey, Wei Kang, Philip Stephens, Nicholas Malizia, Levi John Wolf, Stefanie Lumnitz, jlaura, Charles Schmidt, eli knaap, Andy Eschbacher |
|---|---|
| Format: | info software Journal |
| Terbitan: |
, 2018
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| Online Access: |
https://zenodo.org/record/1322826 |
Daftar Isi:
- This release features: a more flexible specification for the spatial Markov chains model. More specifically, for continuous time series input: both the numbers of classifications for input continuous time series (k) and spatial lags (m) can be specified and allowed to be different user-defined classifications (cutoffs) for input continuous time series and spatial lags are allowed new visualization tools: relies on pysal/splot for visualizing dynamic LISA related statistics the launch of giddy documentation website Full details are reported in CHANGELOG.txt.