giddy 1.2.0

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.