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spdep (version 1.1-11)

Spatial Dependence: Weighting Schemes, Statistics

Description

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 'Assuno/Reis' (1999) Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) and multicoloured join count statistics, 'APLE' ('Li 'et al.' ) , local 'Moran's I' ('Anselin' 1995) and 'Getis/Ord' G ('Ord' and 'Getis' 1995) , 'saddlepoint' approximations ('Tiefelsdorf' 2002) and exact tests for global and local 'Moran's I' ('Bivand et al.' 2009) and 'LOSH' local indicators of spatial heteroscedasticity ('Ord' and 'Getis') . The implementation of most of the measures is described in 'Bivand' and 'Wong' (2018) . 'spdep' >= 1.1-1 corresponds to 'spatialreg' >= 1.1-1, in which the model fitting functions are deprecated and pass through to 'spatialreg', but will mask those in 'spatialreg'. From versions 1.2-1, the functions will be made defunct in 'spdep'. For now 'spatialreg' only has functions from 'spdep', where they are shown as deprecated. 'spatialreg' only loads the namespace of 'spdep'; if you attach 'spdep', the same functions in the other package will be masked. Some feed through adequately, others do not.

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Install

install.packages('spdep')

Monthly Downloads

40,858

Version

1.1-11

License

GPL (>= 2)

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Maintainer

Roger Bivand

Last Published

September 7th, 2021

Functions in spdep (1.1-11)

EBest

Global Empirical Bayes estimator
oldcol

Columbus OH spatial analysis data set - old numbering
aggregate.nb

Aggregate a spatial neighbours object
LOSH.mc

Bootstrapping-based test for local spatial heteroscedasticity
airdist

Measure distance from plot
EBImoran.mc

Permutation test for empirical Bayes index
EBlocal

Local Empirical Bayes estimator
LOSH

Local spatial heteroscedasticity
LOSH.cs

Chi-square based test for local spatial heteroscedasticity
autocov_dist

Distance-weighted autocovariate
Graph Components

Depth First Search on Neighbor Lists
aple

Approximate profile-likelihood estimator (APLE)
aple.mc

Approximate profile-likelihood estimator (APLE) permutation test
grid2nb

Construct neighbours for a GridTopology
bhicv

Data set with 4 life condition indices of Belo Horizonte region
aple.plot

Approximate profile-likelihood estimator (APLE) scatterplot
columbus

Columbus OH spatial analysis data set
graphneigh

Graph based spatial weights
choynowski

Choynowski probability map values
edit.nb

Interactive editing of neighbours lists
geary.mc

Permutation test for Geary's C statistic
geary

Compute Geary's C
diffnb

Differences between neighbours lists
eire

Eire data sets
joincount.multi

BB, BW and Jtot join count statistic for k-coloured factors
joincount.mc

Permutation test for same colour join count statistics
knn2nb

Neighbours list from knn object
globalG.test

Global G test for spatial autocorrelation
geary.test

Geary's C test for spatial autocorrelation
localmoran

Local Moran's I statistic
localG

G and Gstar local spatial statistics
lag.listw

Spatial lag of a numeric vector
lee

Compute Lee's statistic
card

Cardinalities for neighbours lists
cell2nb

Generate neighbours list for grid cells
dnearneigh

Neighbourhood contiguity by distance
lee.mc

Permutation test for Lee's L statistic
joincount.test

BB join count statistic for k-coloured factors
droplinks

Drop links in a neighbours list
localmoran.exact

Exact local Moran's Ii tests
localmoran.sad

Saddlepoint approximation of local Moran's Ii tests
lee.test

Lee's L test for spatial autocorrelation
knearneigh

K nearest neighbours for spatial weights
listw2sn

Spatial neighbour sparse representation
moran.test

Moran's I test for spatial autocorrelation
include.self

Include self in neighbours list
nb2blocknb

Block up neighbour list for location-less observations
mstree

Find the minimal spanning tree
lm.morantest

Moran's I test for residual spatial autocorrelation
nb2INLA

Output spatial neighbours for INLA
lm.LMtests

Lagrange Multiplier diagnostics for spatial dependence in linear models
nb2mat

Spatial weights matrices for neighbours lists
nbdists

Spatial link distance measures
nblag

Higher order neighbours lists
nb2WB

Output spatial weights for WinBUGS
nbcosts

Compute cost of edges
lm.morantest.exact

Exact global Moran's I test
mat2listw

Convert a square spatial weights matrix to a weights list object
invIrM

Compute SAR generating operator
nb.set.operations

Set operations on neighborhood objects
p.adjustSP

Adjust local association measures' p-values
lm.morantest.sad

Saddlepoint approximation of global Moran's I test
set.mcOption

Options for parallel support
moran

Compute Moran's I
moran.mc

Permutation test for Moran's I statistic
plot.skater

Plot the object of skater class
prunemst

Prune a Minimun Spanning Tree
poly2nb

Construct neighbours list from polygon list
set.spChkOption

Control checking of spatial object IDs
plot.nb

Plot a neighbours list
probmap

Probability mapping for rates
plot.mst

Plot the Minimum Spanning Tree
prunecost

Compute cost of prune each edge
read.gal

Read a GAL lattice file into a neighbours list
sp.correlogram

Spatial correlogram
sp.mantel.mc

Mantel-Hubert spatial general cross product statistic
spdep-deprecated

Deprecated Functions in Package spdep
skater

Spatial 'K'luster Analysis by Tree Edge Removal
spdep

Return package version number
spweights.constants

Provides constants for spatial weights matrices
subset.listw

Subset a spatial weights list
ssw

Compute the sum of dissimilarity
Rotation

Rotate a set of point by a certain angle
moran.plot

Moran scatterplot
read.gwt2nb

Read and write spatial neighbour files
nb2lines

Use vector files for import and export of weights
nb2listw

Spatial weights for neighbours lists
nb2listwdist

Distance-based spatial weights for neighbours lists
tolerance.nb

Function to construct edges based on a tolerance angle and a maximum distance
is.symmetric.nb

Test a neighbours list for symmetry
subset.nb

Subset a neighbours list
summary.nb

Print and summary function for neighbours and weights lists
tri2nb

Neighbours list from tri object
write.nb.gal

Write a neighbours list as a GAL lattice file