Spatial Dependence: Weighting Schemes, Statistics
Aggregate a spatial neighbours object
Measure distance from plot
Distance-weighted autocovariate
Data set with 4 life condition indices of Belo Horizonte region
Cardinalities for neighbours lists
Generate neighbours list for grid cells
Choynowski probability map values
Columbus OH spatial analysis data set - old numbering
Depth First Search on Neighbor Lists
Differences between neighbours lists
Neighbourhood contiguity by distance
Drop and add links in a neighbours list
Global Empirical Bayes estimator
Permutation test for empirical Bayes index
Local Empirical Bayes estimator
Interactive editing of neighbours lists
Permutation test for Geary's C statistic
Compute Geary's C
Geary's C test for spatial autocorrelation
Global G test for spatial autocorrelation
Graph based spatial weights
Construct neighbours for a GridTopology
Cluster Classifications for Local Indicators of Spatial Association an...
Include self in neighbours list
Permutation test for same colour join count statistics
BB, BW and Jtot join count statistic for k-coloured factors
BB join count statistic for k-coloured factors
K nearest neighbours for spatial weights
Neighbours list from knn object
Spatial lag of a numeric vector
Permutation test for Lee's L statistic
Compute Lee's statistic
Lee's L test for spatial autocorrelation
Local Indicators for Categorical Data
Spatial neighbour sparse representation
Exact global Moran's I test
Moran's I test for residual spatial autocorrelation
Saddlepoint approximation of global Moran's I test
Rao's score (a.k.a Lagrange Multiplier) diagnostics for spatial depend...
Calculate the local bivariate join count
Calculate the local univariate join count
Compute Local Geary statistic
G and Gstar local spatial statistics
A local hotspot statistic for analysing multiscale datasets
Compute the Local Bivariate Moran's I Statistic
Exact local Moran's Ii tests
Local Moran's I statistic
Saddlepoint approximation of local Moran's Ii tests
Chi-square based test for local spatial heteroscedasticity
Bootstrapping-based test for local spatial heteroscedasticity
Local spatial heteroscedasticity
Convert a square spatial weights matrix to a weights list object
Compute the Global Bivariate Moran's I
Permutation test for Moran's I statistic
Moran scatterplot
Compute Moran's I
Moran's I test for spatial autocorrelation
Find the minimal spanning tree
Block up neighbour list for location-less observations
Output spatial neighbours for INLA
Use vector files for import and export of weights
Spatial weights for neighbours lists
Distance-based spatial weights for neighbours lists
Spatial weights matrices for neighbours lists
Output spatial weights for WinBUGS
Compute cost of edges
Spatial link distance measures
Higher order neighbours lists
Set operations on neighborhood objects
Adjust local association measures' p-values
Plot the Minimum Spanning Tree
Plot a neighbours list
Plot the object of skater class
Construct neighbours list from polygon list
Probability mapping for rates
Compute cost of prune each edge
Prune a Minimun Spanning Tree
Read a GAL lattice file into a neighbours list
Read and write spatial neighbour files
Rotate a set of point by a certain angle
Rao's score and adjusted Rao's score tests of linear hypotheses for sp...
Options for parallel support
Control checking of spatial object IDs
Spatial 'K'luster Analysis by Tree Edge Removal
Spatial correlogram
Mantel-Hubert spatial general cross product statistic
Defunct Functions in Package spdep
Return package version number
Provides constants for spatial weights matrices
Compute the sum of dissimilarity
Subset a spatial weights list
Subset a neighbours list
Print and summary function for neighbours and weights lists
Test a neighbours list for symmetry
Function to construct edges based on a tolerance angle and a maximum d...
Neighbours list from tri object
Write a neighbours list as a GAL lattice file
A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li 'et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) <doi:10.1111/j.1538-4632.1995.tb00912.x>, 'saddlepoint' approximations ('Tiefelsdorf' 2002) <doi:10.1111/j.1538-4632.2002.tb01084.x> and exact tests for global and local 'Moran's I' ('Bivand et al.' 2009) <doi:10.1016/j.csda.2008.07.021> and 'LOSH' local indicators of spatial heteroscedasticity ('Ord' and 'Getis') <doi:10.1007/s00168-011-0492-y>. The implementation of most of these measures is described in 'Bivand' and 'Wong' (2018) <doi:10.1007/s11749-018-0599-x>, with further extensions in 'Bivand' (2022) <doi:10.1111/gean.12319>. 'Lagrange' multiplier tests for spatial dependence in linear models are provided ('Anselin et al'. 1996) <doi:10.1016/0166-0462(95)02111-6>, as are 'Rao' score tests for hypothesised spatial 'Durbin' models based on linear models ('Koley' and 'Bera' 2023) <doi:10.1080/17421772.2023.2256810>. From 'spdep' and 'spatialreg' versions >= 1.2-1, the model fitting functions previously present in this package are defunct in 'spdep' and may be found in 'spatialreg'.
Useful links