pysal/giddy: 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