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lctools  

Local and Geographically Weighted Spatial Statistics Tools
View on CRAN: Click here


Download and install lctools package within the R console
Install from CRAN:
install.packages("lctools")

Install from Github:
library("remotes")
install_github("cran/lctools")

Install by package version:
library("remotes")
install_version("lctools", "0.3")



Attach the package and use:
library("lctools")
Maintained by
Stamatis Kalogirou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-01-23
Latest Update: 2025-09-03
Description:
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.
How to cite:
Stamatis Kalogirou (2014). lctools: Local and Geographically Weighted Spatial Statistics Tools. R package version 0.3, https://cran.r-project.org/web/packages/lctools. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:52), 0.1-1 (2014-01-23 00:20), 0.1-2 (2014-04-27 01:06), 0.1-3 (2014-07-29 07:38), 0.2-2 (2015-04-15 22:05), 0.2-3 (2015-07-05 15:04), 0.2-4 (2015-12-20 09:28), 0.2-5 (2016-09-03 23:35), 0.2-6 (2017-08-04 11:45), 0.2-7 (2019-04-23 07:50), 0.2-8 (2020-04-06 11:42), 0.2-10 (2024-04-02 01:10), 0.2 (2015-04-05 08:25)
Other packages that cited lctools R package
View lctools citation profile
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Complete documentation for lctools
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