Package: lctools 0.2-10

Stamatis Kalogirou

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.

Authors:Stamatis Kalogirou [aut, cre]

lctools_0.2-10.tar.gz
lctools_0.2-10.tar.gz(r-4.5-noble)lctools_0.2-10.tar.gz(r-4.4-noble)
lctools_0.2-10.tgz(r-4.4-emscripten)lctools_0.2-10.tgz(r-4.3-emscripten)
lctools.pdf |lctools.html✨
lctools/json (API)

# Install 'lctools' in R:
install.packages('lctools', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 1 stars 319 downloads 28 exports 113 dependencies

Last updated 12 months agofrom:32581b73e5. Checks:1 OK, 2 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-linuxWARNINGMar 28 2025
R-4.4-linuxWARNINGMar 28 2025

Exports:accFLQgw_variablegw.glmgw.glm.bwgw.glm.cvgw.glm.lightgw.glm.mc.testgw.zigw.zi.bwgw.zi.cvgw.zi.lightgw.zi.mc.testgwrgwr.bwgwr.cvl.moransIlat2wlcorrelmc.lcorrelmc.spGinimoransImoransI.vmoransI.wrandom.test.dataspGinispGini.ww.matrix

Dependencies:backportsbase64encbitbit64bootbroombslibcachemcheckmateclicliprclustercodetoolscolorspacecpp11crayondata.tabledigestdplyrevaluatefansifarverfastmapfontawesomeforcatsforeachforeignFormulafsgdatagenericsggplot2glmnetgluegridExtragtablegtoolshavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsisobanditeratorsjomojquerylibjsonliteknitrlabelinglatticelifecyclelme4magrittrMASSMatrixmemoisemgcvmicemimeminqamitmlmunsellnlmenloptrnnetnumDerivordinalpanpillarpkgconfigplyrprettyunitsprogresspsclpurrrR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasreshaperlangrmarkdownrpartrstudioapisassscalesshapespstringistringrsurvivaltibbletidyrtidyselecttinytextzdbucminfutf8vctrsviridisviridisLitevroomweightswithrxfunyaml

Spatial Autocorrelation

Stamatis Kalogirou

Rendered fromSpatialAutocorrelation.Rmdusingknitr::rmarkdownon Mar 28 2025.

Last update: 2019-04-23
Started: 2015-04-05

Spatial Inequalities with R

Stamatis Kalogirou

Rendered fromSpatialInequalities.Rmdusingknitr::rmarkdownon Mar 28 2025.

Last update: 2020-04-06
Started: 2015-04-05

Citation

To cite package ‘lctools’ in publications use:

Kalogirou S (2024). lctools: Local Correlation, Spatial Inequalities, Geographically Weighted Regression and Other Tools. R package version 0.2-10, https://CRAN.R-project.org/package=lctools.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {lctools: Local Correlation, Spatial Inequalities,
      Geographically Weighted Regression and Other Tools},
    author = {Stamatis Kalogirou},
    year = {2024},
    note = {R package version 0.2-10},
    url = {https://CRAN.R-project.org/package=lctools},
  }

Readme and manuals

Help Manual

Help pageTopics
Local Correlation, Spatial Inequalities, Spatial Regression and Other Toolslctools-package lctools
Spatial Interaction Models: Destination Accessibilityacc
Focal Location QuotientFLQ
Municipalities in Greece in 2011GR.Municipalities
Spatial Interaction Models: gw / regional variablegw_variable
Generalised Geographically Weighted Regression (GGWR)gw.glm
Optimal bandwidth estimation for Generalised Geographically Weighted Regression (GGWR)gw.glm.bw
A specific version of the function gw.glmgw.glm.cv
A light version of the Generalised Geographically Weighted Regression (GGWR)gw.glm.light
Significance test for the spatial variation of the Generalised Geographically Weighted Regression local parameter estimatesgw.glm.mc.test
Geographically Weighted Zero Inflated Poisson Regression (GWZIPR)gw.zi
Optimal bandwidth estimation for Geographically Weighted Zero Inflated Poisson Regression (GWZIPR)gw.zi.bw
A specific version of the function gw.zigw.zi.cv
A light version of the Geographically Weighted Zero Inflated Poisson Regression (GWZIPR)gw.zi.light
Significance test for the spatial variation of the GWZIPR local parameter estimatesgw.zi.mc.test
Geographically Weighted Regression (GWR)gwr
Optimal bandwidth estimation for Geographically Weighted Regression (GWR)gwr.bw
A specific version of the function gwrgwr.cv
Local Moran's I classic statistic for assessing spatial autocorrelationl.moransI
Contiguity-based weights matrix for a regular gridlat2w
Local Pearson and GW Pearson Correlationlcorrel
Monte Carlo simulation for the significance of the local correlation coefficientsmc.lcorrel
Monte Carlo simulation for the significance of the Spatial Gini coefficientmc.spGini
Moran's I classic statistic for assessing spatial autocorrelationmoransI
Computes a vector of Moran's I statistics.moransI.v
Moran's I classic statistic for assessing spatial autocorrelation using a ready made weights matrix.moransI.w
Radmom data generatorrandom.test.data
Spatial Gini coefficientspGini
Spatial Gini coefficient with a given weights matrixspGini.w
New Democracy and Total Votes in Greece in 2012VotesGR
Weights Matrix based on a number of nearest neighbours or a fixed distancew.matrix