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.
|Depends:||R (≥ 3.6.0)|
|Imports:||sp, reshape, weights, pscl, MASS|
|Author:||Stamatis Kalogirou [aut, cre]|
|Maintainer:||Stamatis Kalogirou <stamatis at lctools.science>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|CRAN checks:||lctools results|
Spatial Inequalities with R
|Windows binaries:||r-devel: lctools_0.2-8.zip, r-release: lctools_0.2-8.zip, r-oldrel: lctools_0.2-8.zip|
|macOS binaries:||r-release (arm64): lctools_0.2-8.tgz, r-oldrel (arm64): lctools_0.2-8.tgz, r-release (x86_64): lctools_0.2-8.tgz, r-oldrel (x86_64): lctools_0.2-8.tgz|
|Old sources:||lctools archive|
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