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r-spdep

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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 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.

Installation

To install this package, run one of the following:

Conda
$conda install gerrymandr::r-spdep

Usage Tracking

0.7_7
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

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 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.

Last Updated

Jun 2, 2018 at 21:41

License

GPL (>= 2)

Total Downloads

2

Supported Platforms

linux-64