Local Correlation, Spatial Inequalities, Geographically Weighted Regression and Other Tools
Spatial Interaction Models: Destination Accessibility
Focal Location Quotient
Spatial Interaction Models: gw / regional variable
Optimal bandwidth estimation for Generalised Geographically Weighted R...
A specific version of the function gw.glm
A light version of the Generalised Geographically Weighted Regression ...
Significance test for the spatial variation of the Generalised Geograp...
Generalised Geographically Weighted Regression (GGWR)
Optimal bandwidth estimation for Geographically Weighted Zero Inflated...
A specific version of the function gw.zi
A light version of the Geographically Weighted Zero Inflated Poisson R...
Significance test for the spatial variation of the GWZIPR local parame...
Geographically Weighted Zero Inflated Poisson Regression (GWZIPR)
Optimal bandwidth estimation for Geographically Weighted Regression (G...
A specific version of the function gwr
Geographically Weighted Regression (GWR)
Local Moran's I classic statistic for assessing spatial autocorrelatio...
Contiguity-based weights matrix for a regular grid
Local Pearson and GW Pearson Correlation
Local Correlation, Spatial Inequalities, Spatial Regression and Other ...
Monte Carlo simulation for the significance of the local correlation c...
Monte Carlo simulation for the significance of the Spatial Gini coeffi...
Moran's I classic statistic for assessing spatial autocorrelation
Computes a vector of Moran's I statistics.
Moran's I classic statistic for assessing spatial autocorrelation usin...
Radmom data generator
Spatial Gini coefficient
Spatial Gini coefficient with a given weights matrix
Weights Matrix based on a number of nearest neighbours or a fixed dist...
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.