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 'Morans I', 'APLE', 'Gearys 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, exact tests for global and local 'Moran's I' and 'LOSH' local indicators of spatial heteroscedasticity; and functions for estimating spatial simultaneous 'autoregressive' ('SAR') lag, error, general nested spatial and 'SARAR' models using maximum likelihood and 'MCMC', impact measures for lag, spatial 'Durbin', 'SLX', spatial 'Durbin' error, 'SARAR' and 'GNS' 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: 1.0-2
Depends: R (≥ 3.3.0), methods, sp (≥ 1.0), Matrix (≥ 1.0.12), spData (≥, sf
Imports: LearnBayes, deldir, boot (≥ 1.3-1), splines, coda, nlme, MASS, stats, gmodels, expm, graphics, grDevices, utils
Suggests: parallel, spam (≥ 2.1-0), RANN, rgeos, RColorBrewer, lattice, xtable, maptools (≥ 0.5-4), foreign, igraph, RSpectra, knitr, rgdal, classInt, tmap
Published: 2019-02-13
Author: Roger Bivand ORCID iD [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], Angela Li [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Abhirup Mallik [ctb, trl], Giovanni Millo [ctb], Werner Mueller [ctb], Hisaji Ono [ctb], Pedro Peres-Neto [ctb], Gianfranco Piras [ctb], Markus Reder [ctb], Michael Tiefelsdorf [ctb], René Westerholt [ctb], Danlin Yu [ctb]
Maintainer: Roger Bivand <Roger.Bivand at nhh.no>
BugReports: https://github.com/r-spatial/spdep/issues/
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/r-spatial/spdep/
NeedsCompilation: yes
Citation: spdep citation info
Materials: ChangeLog
In views: Econometrics, Spatial
CRAN checks: spdep results


Reference manual: spdep.pdf
Vignettes: The Problem of Spatial Autocorrelation:” forty years on
Moran Eigenvectors
Spatial weights objects as sparse matrices and graphs
Creating Neighbours using sf objects
Introduction to the North Carolina SIDS data set (re-revised)
Creating Neighbours
Package source: spdep_1.0-2.tar.gz
Windows binaries: r-devel: spdep_1.0-2.zip, r-release: spdep_1.0-2.zip, r-oldrel: spdep_1.0-2.zip
OS X binaries: r-release: spdep_1.0-2.tgz, r-oldrel: spdep_1.0-2.tgz
Old sources: spdep archive

Reverse dependencies:

Reverse depends: AMOEBA, BSPADATA, Compind, DCluster, Digiroo2, GWmodel, ibeemd, lagsarlmtree, LS2Wstat, medfate, spatialprobit, spfrontier, splm, ssfa
Reverse imports: adegenet, adespatial, agricolae, CARBayes, CARBayesST, ClustGeo, DNLC, expp, FlexScan, GeNetIt, geomerge, HSAR, INLABMA, LabourMarketAreas, latticeDensity, mclcar, mdsOpt, meteoland, OasisR, pgirmess, PReMiuM, redist, ref.ICAR, saeRobust, saeSim, smartR, smerc, spacom, spatialEco, SpatialEpi, SpatialEpiApp, spemd, spGARCH, sphet, spmoran, stampr, SUMMER, zooaRchGUI
Reverse suggests: ade4, adegraphics, ASGS.foyer, bamlss, BayesX, brms, constrainedKriging, DatabionicSwarm, diseasemapping, epiphy, FRK, gamlss.spatial, Guerry, loo, McSpatial, plm, prabclus, prioritizr, ProjectionBasedClustering, R2BayesX, seg, sharpshootR, spData, spgwr, starma, subniche, surveillance, xtable
Reverse enhances: MuMIn, stargazer, texreg


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