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adespatial (version 0.3-2)

Multivariate Multiscale Spatial Analysis

Description

Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM).

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Version

Install

install.packages('adespatial')

Monthly Downloads

6,905

Version

0.3-2

License

GPL (>= 2)

Maintainer

Stéphane Dray

Last Published

September 27th, 2018

Functions in adespatial (0.3-2)

forward.sel.par

Parametric forward selection of explanatory variables in regression and RDA
give.thresh

Compute the maximum distance of the minimum spanning tree based on a distance matrix
mastigouche

Mastigouche Lake network data set
plot.orthobasisSp

Function to display Moran's Eigenvector Maps (MEM) and other spatial orthogonal bases
variogmultiv

Function to compute multivariate empirical variogram
rotation

Rotate a set of point by a certain angle
mfpa

Multi-frequential periodogram analysis
listw.candidates

Function to create a list of spatial weighting matrices
mem.select

Selection of the best subset of spatial eigenvectors (MEM, Moran's Eigenvector Maps)
global.rtest

Global and local tests
msr.4thcorner

Moran spectral randomization for fourth-corner analysis
scores.listw

Function to compute and manage Moran's Eigenvector Maps (MEM) of a listw object
dbmem

dbMEM spatial eigenfunctions
beta.div.comp

Decompose D in replacement and richness difference components
create.dbMEM.model

Combine dbMEM matrices corresponding to groups of sites
moranNP.randtest

Function to compute positive and negative parts of Moran's index of spatial autocorrelation
mspa

Multi-Scale Pattern Analysis
mst.nb

Function to compute neighborhood based on the minimum spanning tree
chooseCN

Function to choose a connection network
msr

Moran spectral randomization
multispati

Multivariate spatial analysis
scalogram

Function to compute a scalogram
envspace.test

Perform a test of the shared space-environment fraction of a variation partitioning using torus-translation (TT) or Moran Spectral Randomisation (MSR)
forward.sel

Forward selection with multivariate Y using permutation under reducel model
dist.ldc

Dissimilarity matrices for community composition data
listw.explore

Interactive tool to generate R code that creates a spatial weighting matrix
stimodels

Space-time interaction in ANOVA without replication
moran.randtest

Function to compute Moran's index of spatial autocorrelation
moran.bounds

Function to compute extreme values of Moran's I
listw.select

Function to optimize the selection of a spatial weighting matrix and select the best subset of eigenvectors (MEM, Moran's Eigenvector Maps)
msr.varipart

Moran spectral randomization for variation partitioning
msr.mantelrtest

Moran spectral randomization for Mantel test
ortho.AIC

Compute AIC for models with orthonormal explanatory variables
orthobasis.poly

Function to compute polynomial of geographical coordinates
trichoptera

Trichoptera data set
test.W

Function to compute and test eigenvectors of spatial weighting matrices
Cperiodogram

Contingency periodogram
aem.weight.edges

Weight edges when constructing AEM variables
bacProdxy

Bacterial production data set
LCBD.comp

Compute LCBD from any D matrix
aem.time

AEM for time series
beta.div

Beta diversity computed as Var(Y)
WRperiodogram

Whittaker-Robinson periodogram
aem.build.binary

Construct a site-by-edge binary matrix
aem

Construct asymmetric eigenvector maps (AEM)