Provides researchers and educators with easy-to-learn user friendly tools for calculating key spatial statistics and to apply simple as well as advanced methods of spatial analysis in real data. These include: Local Pearson and Geographically Weighted Pearson Correlation Coefficients, Spatial Inequality Measures (Gini, Spatial Gini, LQ, Focal LQ), Spatial Autocorrelation (Global and Local Moran's I), several Geographically Weighted Regression techniques and other Spatial Analysis tools (other geographically weighted statistics). This package also contains functions for measuring the significance of each statistic calculated, mainly based on Monte Carlo simulations.
|Author||Stamatis Kalogirou [aut, cre]|
|Date of publication||2017-08-04 09:45:46 UTC|
|Maintainer||Stamatis Kalogirou <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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