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spdep (version 0.7-4)

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 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.

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Install

install.packages('spdep')

Monthly Downloads

40,443

Version

0.7-4

License

GPL (>= 2)

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Repository

https://github.com/r-spatial/spdep/

Maintainer

Roger Bivand

Last Published

November 22nd, 2017

Functions in spdep (0.7-4)

Global Empirical Bayes estimator

Local Empirical Bayes estimator

Distance-weighted autocovariate

SpatialFiltering

Semi-parametric spatial filtering

Data set with 4 life condition indices of Belo Horizonte region

Aggregate a spatial neighbours object

Measure distance from plot

Spatial simultaneous autoregressive error model estimation by GMM

Comparison of simultaneous autoregressive models

Approximate profile-likelihood estimator (APLE)

Likelihood ratio test

Approximate profile-likelihood estimator (APLE) permutation test

MCMC sample from fitted spatial regression

Approximate profile-likelihood estimator (APLE) scatterplot

as_dgRMatrix_listw

Interface between Matrix class objects and weights lists

Moran eigenvector GLM filtering

Breusch-Pagan test for spatial models

Columbus OH spatial analysis data set - old numbering

Cardinalities for neighbours lists

Permutation test for empirical Bayes index

Columbus OH spatial analysis data set

Graph Components

Depth First Search on Neighbor Lists

Interactive editing of neighbours lists

Generate neighbours list for grid cells

Spatial weights matrix eigenvalues

Choynowski probability map values

Differences between neighbours lists

Drop links in a neighbours list

Neighbourhood contiguity by distance

Geary's C test for spatial autocorrelation

Spatial regression model Jacobian computations

Impacts in spatial lag models

Global G test for spatial autocorrelation

Compute Geary's C

Graph based spatial weights

Permutation test for Geary's C statistic

Spatial simultaneous autoregressive SAC model estimation by GMM

Spatial lag of a numeric vector

Matrix exponential spatial lag model

Include self in neighbours list

joincount.multi

BB, BW and Jtot join count statistic for k-coloured factors

K nearest neighbours for spatial weights

Neighbours list from knn object

Spatial simultaneous autoregressive error model estimation

Spatial simultaneous autoregressive lag model estimation

BB join count statistic for k-coloured factors

Compute SAR generating operator

Lagrange Multiplier diagnostics for spatial dependence in linear models

Permutation test for same colour join count statistics

Compute Lee's statistic

Moran's I test for residual spatial autocorrelation

G and Gstar local spatial statistics

Permutation test for Lee's L statistic

Local Moran's I statistic

Spatial neighbour sparse representation

Lee's L test for spatial autocorrelation

Find extreme eigenvalues of binary symmetric spatial weights

localmoran.exact

Exact local Moran's Ii tests

lm.morantest.exact

Exact global Moran's I test

Moran scatterplot

lm.morantest.sad

Saddlepoint approximation of global Moran's I test

Compute Moran's I

Output spatial neighbours for INLA

Moran's I test for spatial autocorrelation

Saddlepoint approximation of local Moran's Ii tests

Find the minimal spanning tree

Compute cost of edges

Spatial link distance measures

Permutation test for Moran's I statistic

Block up neighbour list for location-less observations

Convert a square spatial weights matrix to a weights list object

Use arc-type shapefiles for import and export of weights

Adjust local association measures' p-values

Probability mapping for rates

Compute cost of prune each edge

Plot the Minimum Spanning Tree

Plot a neighbours list

Output spatial weights for WinBUGS

Plot the object of skater class

Create symmetric similar weights lists

Spatial weights for neighbours lists

Spatial 'K'luster Analysis by Tree Edge Removal

Spatial weights matrices for neighbours lists

Generalized spatial two stage least squares

Subset a spatial weights list

Prune a Minimun Spanning Tree

Write a neighbours list as a GAL lattice file

Read a GAL lattice file into a neighbours list

Rotate a set of point by a certain angle

Read and write spatial neighbour files

Spatial simultaneous autoregressive SAC model estimation

residuals.sarlm

Access functions for spatial simultaneous autoregressive linear model objects

Spatial correlogram

Options for parallel support

set.spChkOption

Control checking of spatial object IDs

Mantel-Hubert spatial general cross product statistic

Function to construct edges based on a tolerance angle and a maximum distance

Subset a neighbours list

Spatial weights matrix powers traces

Print and summary function for neighbours and weights lists

Prediction for spatial simultaneous autoregressive linear model objects

Spatial conditional and simultaneous autoregression model estimation

Neighbours list from tri object

Return package version number

spweights.constants

Provides constants for spatial weights matrices

summary method for class sarlm

Compute the sum of dissimilarity

is.symmetric.nb

Test a neighbours list for symmetry

Higher order neighbours lists

nb.set.operations

Set operations on neighborhood objects

Construct neighbours list from polygon list