Akaike weights based bandwidth CIs #81
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Adding bandwidth CIs computed based on Akaike weights. See Li et al. 2020 for details.
Function
get_bws_intervals(self, selector, level=0.95)is added toGWRResultsandMGWRResultsrespectively, which takes two parameters, the selector and a confidence level.Adding one test case for this function based on the Georgia data.
Some minor changes to the
search.pyto allow the selector to store the bandwidth search history.Adding the citation to the mgwr software paper in readme.