lctools: Local Correlation, Spatial Inequalities, Geographically Weighted Regression and Other Tools

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.

Version: 0.2-8
Depends: R (≥ 3.6.0)
Imports: sp, reshape, weights, pscl, MASS
Suggests: knitr
Published: 2020-04-06
Author: Stamatis Kalogirou [aut, cre]
Maintainer: Stamatis Kalogirou <stamatis at lctools.science>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://lctools.science/
NeedsCompilation: no
In views: Spatial
CRAN checks: lctools results

Documentation:

Reference manual: lctools.pdf
Vignettes: Spatial Autocorrelation
Spatial Inequalities with R

Downloads:

Package source: lctools_0.2-8.tar.gz
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-release (x86_64): lctools_0.2-8.tgz, r-oldrel: lctools_0.2-8.tgz
Old sources: lctools archive

Linking:

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