r-spatial/spdep: Spatial Dependence: Weighting Schemes, Statistics and Models
Version 0.7-4

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 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.

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version0.7-4
URL https://github.com/r-spatial/spdep/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("r-spatial/spdep")
r-spatial/spdep documentation built on Nov. 23, 2017, 10:48 p.m.