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lctools (version 0.2-10)

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

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.

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Version

Install

install.packages('lctools')

Monthly Downloads

408

Version

0.2-10

License

GPL (>= 2)

Last Published

April 1st, 2024

Functions in lctools (0.2-10)

gw.zi

Geographically Weighted Zero Inflated Poisson Regression (GWZIPR)
gwr.bw

Optimal bandwidth estimation for Geographically Weighted Regression (GWR)
gw.zi.mc.test

Significance test for the spatial variation of the GWZIPR local parameter estimates
gwr.cv

A specific version of the function gwr
l.moransI

Local Moran's I classic statistic for assessing spatial autocorrelation
lat2w

Contiguity-based weights matrix for a regular grid
gw.zi.cv

A specific version of the function gw.zi
gwr

Geographically Weighted Regression (GWR)
gw.zi.light

A light version of the Geographically Weighted Zero Inflated Poisson Regression (GWZIPR)
gw.zi.bw

Optimal bandwidth estimation for Geographically Weighted Zero Inflated Poisson Regression (GWZIPR)
spGini

Spatial Gini coefficient
random.test.data

Radmom data generator
spGini.w

Spatial Gini coefficient with a given weights matrix
moransI.w

Moran's I classic statistic for assessing spatial autocorrelation using a ready made weights matrix.
lcorrel

Local Pearson and GW Pearson Correlation
mc.spGini

Monte Carlo simulation for the significance of the Spatial Gini coefficient
mc.lcorrel

Monte Carlo simulation for the significance of the local correlation coefficients
moransI.v

Computes a vector of Moran's I statistics.
w.matrix

Weights Matrix based on a number of nearest neighbours or a fixed distance
moransI

Moran's I classic statistic for assessing spatial autocorrelation
lctools-package

Local Correlation, Spatial Inequalities, Spatial Regression and Other Tools
FLQ

Focal Location Quotient
gw.glm.bw

Optimal bandwidth estimation for Generalised Geographically Weighted Regression (GGWR)
acc

Spatial Interaction Models: Destination Accessibility
GR.Municipalities

Municipalities in Greece in 2011
gw.glm.light

A light version of the Generalised Geographically Weighted Regression (GGWR)
gw_variable

Spatial Interaction Models: gw / regional variable
VotesGR

New Democracy and Total Votes in Greece in 2012
gw.glm.cv

A specific version of the function gw.glm
gw.glm

Generalised Geographically Weighted Regression (GGWR)
gw.glm.mc.test

Significance test for the spatial variation of the Generalised Geographically Weighted Regression local parameter estimates