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spdep (version 1.0-2)
Spatial Dependence: Weighting Schemes, Statistics and Models
Description
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 'Assuno/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.
