spdep: Spatial Dependence: Weighting Schemes, Statistics and Models

> library(spdep)

Loading required package: Matrix


Attaching package: 'Matrix'

The following object is masked from 'package:tidyr':

    expand

> data("used.cars")

バージョン: 0.6.12

関数名	概略
`EBImoran.mc`	Permutation test for empirical Bayes index
`EBest`	Global Empirical Bayes estimator
`EBlocal`	Local Empirical Bayes estimator
`GMerrorsar`	Spatial simultaneous autoregressive error model estimation by GMM
`LR.sarlm`	Likelihood ratio test
`MCMCsamp`	MCMC sample from fitted spatial regression
`ME`	Moran eigenvector GLM filtering
`NY_data`	New York leukemia data
`Rotation`	Rotate a set of point by a certain angle
`SpatialFiltering`	Semi-parametric spatial filtering
`afcon`	Spatial patterns of conflict in Africa 1966-78
`aggregate.nb`	Aggregate a spatial neighbours object
`airdist`	Measure distance from plot
`anova.sarlm`	Comparison of simultaneous autoregressive models
`aple`	Approximate profile-likelihood estimator (APLE)
`aple.mc`	Approximate profile-likelihood estimator (APLE) permutation test
`aple.plot`	Approximate profile-likelihood estimator (APLE) scatterplot
`as_dgRMatrix_listw`	Interface between Matrix class objects and weights lists
`auckland`	Marshall's infant mortality in Auckland dataset
`autocov_dist`	Distance-weighted autocovariate
`baltimore`	House sales prices, Baltimore, MD 1978
`bhicv`	Data set with 4 life condition indices of Belo Horizonte region
`boston`	Corrected Boston Housing Data
`bptest.sarlm`	Breusch-Pagan test for spatial models
`card`	Cardinalities for neighbours lists
`cell2nb`	Generate neighbours list for grid cells
`choynowski`	Choynowski probability map values
`columbus`	Columbus OH spatial analysis data set
`diffnb`	Differences between neighbours lists
`dnearneigh`	Neighbourhood contiguity by distance
`do_ldet`	Spatial regression model Jacobian computations
`droplinks`	Drop links in a neighbours list
`edit.nb`	Interactive editing of neighbours lists
`eigenw`	Spatial weights matrix eigenvalues
`eire`	Eire data sets
`elect80`	1980 Presidential election results
`errorsarlm`	Spatial simultaneous autoregressive error model estimation
`gabrielneigh`	Graph based spatial weights
`geary`	Compute Geary's C
`geary.mc`	Permutation test for Geary's C statistic
`geary.test`	Geary's C test for spatial autocorrelation
`getisord`	Getis-Ord remote sensing example data
`globalG.`	test Global G test for spatial autocorrelation
`gstsls`	Spatial simultaneous autoregressive SAC model estimation by GMM
`hopkins`	Hopkins burnt savanna herb remains
`house`	Lucas county OH housing
`huddersfield`	Prevalence of respiratory symptoms
`impacts`	Impacts in spatial lag models
`include.self`	Include self in neighbours list
`intersect.nb`	Set operations on neighborhood objects
`invIrM`	Compute SAR generating operator
`is.symmetric.nb`	Test a neighbours list for symmetry
`joincount.mc`	Permutation test for same colour join count statistics
`joincount.multi`	BB, BW and Jtot join count statistic for k-coloured factors
`joincount.test`	BB join count statistic for k-coloured factors
`knearneigh`	K nearest neighbours for spatial weights
`knn2nb`	Neighbours list from knn object
`lag.listw`	Spatial lag of a numeric vector
`lagmess`	Matrix exponential spatial lag model
`lagsarlm`	Spatial simultaneous autoregressive lag model estimation
`lee`	Compute Lee's statistic
`lee.mc`	Permutation test for Lee's L statistic
`lee.test`	Lee's L test for spatial autocorrelation
`lextrB`	Find extreme eigenvalues of binary symmetric spatial weights
`listw2sn`	Spatial neighbour sparse representation
`lm.LMtests`	Lagrange Multiplier diagnostics for spatial dependence in linear models
`lm.morantest`	Moran's I test for residual spatial autocorrelation
`lm.morantest.exact`	Exact global Moran's I test
`lm.morantest.sad`	Saddlepoint approximation of global Moran's I test
`localG`	G and Gstar local spatial statistics
`localmoran`	Local Moran's I statistic
`localmoran.exact`	Exact local Moran's Ii tests
`localmoran.sad`	Saddlepoint approximation of local Moran's Ii tests
`mat2listw`	Convert a square spatial weights matrix to a weights list object
`moran`	Compute Moran's I
`moran.mc`	Permutation test for Moran's I statistic
`moran.plot`	Moran scatterplot
`moran.test`	Moran's I test for spatial autocorrelation
`mstree`	Find the minimal spanning tree
`n.comp.nb`	Depth First Search on Neighbor Lists
`nb2INLA`	Output spatial neighbours for INLA
`nb2WB`	Output spatial weights for WinBUGS
`nb2blocknb`	Block up neighbour list for location-less observations
`nb2lines`	Use arc-type shapefiles for import and export of weights
`nb2listw`	Spatial weights for neighbours lists
`nb2mat`	Spatial weights matrices for neighbours lists
`nbcosts`	Compute cost of edges
`nbdists`	Spatial link distance measures
`nblag`	Higher order neighbours lists
`nc.sids`	North Carolina SIDS data
`oldcol`	Columbus OH spatial analysis data set - old numbering
`p.adjustSP`	Adjust local association measures' p-values
`plot.mst`	Plot the Minimum Spanning Tree
`plot.nb`	Plot a neighbours list
`plot.skater`	Plot the object of skater class
`poly2nb`	Construct neighbours list from polygon list
`predict.sarlm`	Prediction for spatial simultaneous autoregressive linear model objects
`probmap`	Probability mapping for rates
`prunecost`	Compute cost of prune each edge
`prunemst`	Prune a Minimun Spanning Tree
`read.gal`	Read a GAL lattice file into a neighbours list
`read.gwt2nb`	Read and write spatial neighbour files
`residuals.sarlm`	Access functions for spatial simultaneous autoregressive linear model objects
`sacsarlm`	Spatial simultaneous autoregressive SAC model estimation
`set.mcOption`	Options for parallel support
`set.spChkOption`	Control checking of spatial object IDs
`similar.listw`	Create symmetric similar weights lists
`skater`	Spatial 'K'luster Analysis by Tree Edge Removal
`sp.correlogram`	Spatial correlogram
`sp.mantel.mc`	Mantel-Hubert spatial general cross product statistic
`spautolm`	Spatial conditional and simultaneous autoregression model estimation
`spdep`	Return package version number
`spweights.constants`	Provides constants for spatial weights matrices
`ssw`	Compute the sum of dissimilarity
`stsls`	Generalized spatial two stage least squares
`subset.listw`	Subset a spatial weights list
`subset.nb`	Subset a neighbours list
`summary.nb`	Print and summary function for neighbours and weights lists
`summary.sarlm`	summary method for class sarlm
`tolerance.nb`	Function to construct edges based on a tolerance angle and a maximum distance
`trW`	Spatial weights matrix powers traces
`tri2nb`	Neighbours list from tri object
`used.cars`	US 1960 used car prices
`wheat`	Mercer and Hall wheat yield data
`write.nb.gal`	Write a neighbours list as a GAL lattice file

getisord

> data("getisord")
> xyz %>% head()
> image(x, y, t(matrix(xyz$val, nrow=16, ncol=16, byrow=TRUE)), asp = 1)

knearneigh

> example(columbus)


colmbs> require(maptools)

Loading required package: maptools

Checking rgeos availability: TRUE


colmbs> columbus <- readShapePoly(system.file("etc/shapes/columbus.shp",
colmbs+  package="spdep")[1])

Warning: use rgdal::readOGR or sf::st_read


colmbs> col.gal.nb <- read.gal(system.file("etc/weights/columbus.gal",
colmbs+  package="spdep")[1])

> coords <- coordinates(columbus)
> col.knn <- knearneigh(coords, k=4)

poly2nb

used.cars

> used.cars %>% {
+   print(class(.))
+   dplyr::glimpse(.)
+ }

[1] "data.frame"
Observations: 48
Variables: 2
$ tax.charges <dbl> 129, 218, 176, 252, 186, 154, 92, 150, 149, 168, 1...
$ price.1960  <dbl> 1461, 1601, 1469, 1611, 1606, 1491, 1536, 1517, 14...