spdep: Spatial Dependence: Weighting Schemes, Statistics and Models

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 Moran's I, APLE, Geary's C, Hubert/Mantel general cross product statistic, Empirical Bayes estimates and Assunção/Reis Index, Getis/Ord G and multicoloured join count statistics, local Moran's I and Getis/Ord G, saddlepoint approximations and exact tests for global and local Moran's I; and functions for estimating spatial simultaneous autoregressive (SAR) lag and error models, impact measures for lag models, weighted and unweighted SAR and CAR spatial regression models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial two stage least squares models.

Version: 0.5-92
Depends: R (≥ 3.0.0), methods, sp (≥ 1.0), Matrix (≥ 1.0.12)
Imports: LearnBayes, deldir, boot (≥ 1.3-1), splines, coda, nlme, MASS, stats, graphics, grDevices, utils
Suggests: parallel, spam (≥ 0.13-1), RANN, RColorBrewer, lattice, xtable, maptools (≥ 0.5-4), foreign, igraph, knitr
Published: 2015-12-22
Author: Roger Bivand [cre, aut], Micah Altman [ctb], Luc Anselin [ctb], Renato Assunção [ctb], Olaf Berke [ctb], Andrew Bernat [ctb], Guillaume Blanchet [ctb], Eric Blankmeyer [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Stéphane Dray [ctb], Virgilio Gómez-Rubio [ctb], Martin Gubri [ctb], Rein Halbersma [ctb], Elias Krainski [ctb], Pierre Legendre [ctb], Nicholas Lewin-Koh [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Giovanni Millo [ctb], Werner Mueller [ctb], Hisaji Ono [ctb], Pedro Peres-Neto [ctb], Gianfranco Piras [ctb], Markus Reder [ctb], Michael Tiefelsdorf [ctb], Danlin Yu [ctb]
Maintainer: Roger Bivand <Roger.Bivand at nhh.no>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: spdep citation info
Materials: ChangeLog
In views: Econometrics, Spatial
CRAN checks: spdep results


Reference manual: spdep.pdf
Vignettes: Spatial weights objects as sparse matrices and graphs
The Problem of Spatial Autocorrelation
Moran Eigenvectors
Creating Neighbours
North Carolina SIDS data set
Package source: spdep_0.5-92.tar.gz
Windows binaries: r-devel: spdep_0.5-92.zip, r-release: spdep_0.5-92.zip, r-oldrel: spdep_0.5-92.zip
OS X Snow Leopard binaries: r-release: spdep_0.5-92.tgz, r-oldrel: spdep_0.5-88.tgz
OS X Mavericks binaries: r-release: spdep_0.5-92.tgz
Old sources: spdep archive

Reverse dependencies:

Reverse depends: AMOEBA, DCluster, Digiroo2, expp, GeoXp, ibeemd, latticeDensity, LS2Wstat, spatialprobit, splm, ssfa
Reverse imports: adegenet, agricolae, CARBayes, CARBayesST, HSAR, INLABMA, Momocs, OasisR, pgirmess, redist, saeSim, smerc, spacom, spatialEco, SpatialEpi, spfrontier, sphet, tmap
Reverse suggests: ade4, adegraphics, BayesX, constrainedKriging, diseasemapping, gamlss.spatial, glmmBUGS, Guerry, McSpatial, prabclus, R2BayesX, rangemodelR, seg, sharpshootR, spgwr, starma, surveillance, xtable
Reverse enhances: MuMIn, stargazer, texreg