A collection of functions to create spatial weights matrix objects from polygon contiguities, from point patterns by distance and tesselations, for summarising 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: | 0.4-52 |
| Depends: | R (≥ 2.4.0), methods, deldir, sp (≥ 0.9), maptools (≥ 0.5-4), boot, spam(≥ 0.13-1), Matrix (≥ 0.999375-9), MASS, coda, nlme |
| Published: | 2009-11-05 |
| Author: | Roger Bivand, with contributions by Luc Anselin, Renato Assunção, Olaf Berke, Andrew Bernat, Marilia Carvalho, Yongwan Chun, Bjarke Christensen, Carsten Dormann, Stéphane Dray, Rein Halbersma, Elias Krainski, Nicholas Lewin-Koh, Hongfei Li, Jielai Ma, Giovanni Millo, Werner Mueller, Hisaji Ono, Pedro Peres-Neto, Markus Reder, Michael Tiefelsdorf, and Danlin Yu. |
| Maintainer: | Roger Bivand <Roger.Bivand at nhh.no> |
| License: | GPL (≥ 2) |
| In views: | Spatial |
| CRAN checks: | spdep results |
| Package source: | spdep_0.4-52.tar.gz |
| MacOS X binary: | spdep_0.4-52.tgz |
| Windows binary: | spdep_0.4-52.zip |
| Reference manual: | spdep.pdf |
| Vignettes: |
The Problem of Spatial Autocorrelation North Carolina SIDS data set |
| News/ChangeLog: | ChangeLog |
| Old sources: | spdep archive |
| Reverse depends: | DCluster, GeoXp, svcR |
| Reverse imports: | BARD |
| Reverse suggests: | BayesX, Guerry, ade4, adegenet, glmmBUGS, pgirmess, prabclus, spgwr |
| Reverse enhances: | diseasemapping |