# spdep v1.1-3

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## Spatial Dependence: Weighting Schemes, Statistics

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' and 'Gearys C' proposed by 'Cliff' and 'Ord'
(1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel'
general cross product statistic, Empirical Bayes estimates and
'Assun<c3><a7><c3><a3>o/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992)
<doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured
join count statistics, 'APLE' ('Li 'et al.' )
<doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I'
('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and
'Getis/Ord' G ('Ord' and 'Getis' 1995)
<doi:10.1111/j.1538-4632.1995.tb00912.x>,
'saddlepoint' approximations ('Tiefelsdorf' 2002)
<doi:10.1111/j.1538-4632.2002.tb01084.x> and exact tests
for global and local 'Moran's I' ('Bivand et al.' 2009)
<doi:10.1016/j.csda.2008.07.021> and 'LOSH' local indicators
of spatial heteroscedasticity ('Ord' and 'Getis')
<doi:10.1007/s00168-011-0492-y>. The implementation of most of
the measures is described in 'Bivand' and 'Wong' (2018)
<doi:10.1007/s11749-018-0599-x>.
'spdep' >= 1.1-1 corresponds to 'spatialreg' >= 1.1-1, in which the model
fitting functions are deprecated and pass through to 'spatialreg', but
will mask those in 'spatialreg'. From versions 1.2-1, the functions will
be made defunct in 'spdep'.
For now 'spatialreg' only has functions from 'spdep', where they are shown
as deprecated. 'spatialreg' only loads the namespace of 'spdep'; if you
attach 'spdep', the same functions in the other package will be masked.
Some feed through adequately, others do not.

## Functions in spdep

Name | Description | |

knearneigh | K nearest neighbours for spatial weights | |

autocov_dist | Distance-weighted autocovariate | |

bhicv | Data set with 4 life condition indices of Belo Horizonte region | |

nb2INLA | Output spatial neighbours for INLA | |

listw2sn | Spatial neighbour sparse representation | |

nb2WB | Output spatial weights for WinBUGS | |

p.adjustSP | Adjust local association measures' p-values | |

lee.test | Lee's L test for spatial autocorrelation | |

joincount.test | BB join count statistic for k-coloured factors | |

graphneigh | Graph based spatial weights | |

plot.mst | Plot the Minimum Spanning Tree | |

droplinks | Drop links in a neighbours list | |

prunecost | Compute cost of prune each edge | |

grid2nb | Construct neighbours for a GridTopology | |

prunemst | Prune a Minimun Spanning Tree | |

lee | Compute Lee's statistic | |

dnearneigh | Neighbourhood contiguity by distance | |

joincount.mc | Permutation test for same colour join count statistics | |

joincount.multi | BB, BW and Jtot join count statistic for k-coloured factors | |

localmoran.sad | Saddlepoint approximation of local Moran's Ii tests | |

spdep-deprecated | Deprecated Functions in Package spdep | |

set.mcOption | Options for parallel support | |

Rotation | Rotate a set of point by a certain angle | |

spdep | Return package version number | |

moran | Compute Moran's I | |

mat2listw | Convert a square spatial weights matrix to a weights list object | |

localmoran.exact | Exact local Moran's Ii tests | |

aple.mc | Approximate profile-likelihood estimator (APLE) permutation test | |

EBest | Global Empirical Bayes estimator | |

EBlocal | Local Empirical Bayes estimator | |

write.nb.gal | Write a neighbours list as a GAL lattice file | |

nblag | Higher order neighbours lists | |

nb2blocknb | Block up neighbour list for location-less observations | |

lm.morantest.sad | Saddlepoint approximation of global Moran's I test | |

lee.mc | Permutation test for Lee's L statistic | |

nb2lines | Use vector files for import and export of weights | |

lm.morantest.exact | Exact global Moran's I test | |

aple.plot | Approximate profile-likelihood estimator (APLE) scatterplot | |

nb.set.operations | Set operations on neighborhood objects | |

airdist | Measure distance from plot | |

geary.mc | Permutation test for Geary's C statistic | |

geary | Compute Geary's C | |

card | Cardinalities for neighbours lists | |

skater | Spatial 'K'luster Analysis by Tree Edge Removal | |

set.spChkOption | Control checking of spatial object IDs | |

spweights.constants | Provides constants for spatial weights matrices | |

diffnb | Differences between neighbours lists | |

aple | Approximate profile-likelihood estimator (APLE) | |

Graph Components | Depth First Search on Neighbor Lists | |

cell2nb | Generate neighbours list for grid cells | |

knn2nb | Neighbours list from knn object | |

ssw | Compute the sum of dissimilarity | |

geary.test | Geary's C test for spatial autocorrelation | |

lag.listw | Spatial lag of a numeric vector | |

localG | G and Gstar local spatial statistics | |

globalG.test | Global G test for spatial autocorrelation | |

eire | Eire data sets | |

edit.nb | Interactive editing of neighbours lists | |

lm.LMtests | Lagrange Multiplier diagnostics for spatial dependence in linear models | |

lm.morantest | Moran's I test for residual spatial autocorrelation | |

localmoran | Local Moran's I statistic | |

moran.mc | Permutation test for Moran's I statistic | |

moran.plot | Moran scatterplot | |

include.self | Include self in neighbours list | |

nbcosts | Compute cost of edges | |

nbdists | Spatial link distance measures | |

poly2nb | Construct neighbours list from polygon list | |

probmap | Probability mapping for rates | |

invIrM | Compute SAR generating operator | |

sp.correlogram | Spatial correlogram | |

nb2listw | Spatial weights for neighbours lists | |

mstree | Find the minimal spanning tree | |

sp.mantel.mc | Mantel-Hubert spatial general cross product statistic | |

moran.test | Moran's I test for spatial autocorrelation | |

plot.nb | Plot a neighbours list | |

plot.skater | Plot the object of skater class | |

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

nb2mat | Spatial weights matrices for neighbours lists | |

read.gal | Read a GAL lattice file into a neighbours list | |

summary.nb | Print and summary function for neighbours and weights lists | |

tri2nb | Neighbours list from tri object | |

read.gwt2nb | Read and write spatial neighbour files | |

subset.listw | Subset a spatial weights list | |

is.symmetric.nb | Test a neighbours list for symmetry | |

subset.nb | Subset a neighbours list | |

EBImoran.mc | Permutation test for empirical Bayes index | |

LOSH.mc | Bootstrapping-based test for local spatial heteroscedasticity | |

aggregate.nb | Aggregate a spatial neighbours object | |

LOSH | Local spatial heteroscedasticity | |

oldcol | Columbus OH spatial analysis data set - old numbering | |

choynowski | Choynowski probability map values | |

columbus | Columbus OH spatial analysis data set | |

LOSH.cs | Chi-square based test for local spatial heteroscedasticity | |

No Results! |

## Vignettes of spdep

Name | ||

CO69.Rmd | ||

nb.Rnw | ||

nb_igraph.Rmd | ||

nb_sf.Rmd | ||

refs.bib | ||

sids.Rmd | ||

No Results! |

## Last month downloads

## Details

Date | 2019-09-18 |

Encoding | UTF-8 |

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

BugReports | https://github.com/r-spatial/spdep/issues/ |

License | GPL (>= 2) |

VignetteBuilder | knitr |

RoxygenNote | 6.1.1 |

NeedsCompilation | yes |

Packaged | 2019-09-18 12:10:34 UTC; rsb |

Repository | CRAN |

Date/Publication | 2019-09-18 13:30:02 UTC |

imports | boot (>= 1.3-1) , coda , deldir , expm , gmodels , graphics , grDevices , LearnBayes , MASS , Matrix , nlme , stats , utils |

suggests | classInt , foreign , igraph , knitr , lattice , maptools (>= 0.5-4) , parallel , RANN , RColorBrewer , rgdal , rgeos , RSpectra , spam , spatialreg (>= 1.1-1) , tmap , xtable |

depends | methods , R (>= 3.3.0) , sf , sp (>= 1.0) , spData (>= 0.2.6.0) |

Contributors | Danlin Yu, Hongfei Li, Jielai Ma, Werner Mueller, Markus Reder, Olaf Berke, Andrew Bernat, Eric Blankmeyer, Yongwan Chun, Bjarke Christensen, Carsten Dormann, Rein Halbersma, Elias Krainski, Luc Anselin, Guillaume Blanchet, Marilia Carvalho, Pierre Legendre, Hisaji Ono, Nicholas Lewin-Koh, Giovanni Millo, Micah Altman, Pedro Peres-Neto, Gianfranco Piras, Michael Tiefelsdorf, Martin Gubri, Abhirup Mallik, Renato Assun<c3><a7><c3><a3>o, St<c3><a9>phane Dray, Virgilio G<c3><b3>mez-Rubio, Ren<c3><a9> Westerholt, Angela Li |

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