Learn R Programming
⚠️There's a newer version (0.3-24) of this package.Take me there.

adespatial (version 0.1-1)

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).

Copy Link

Version

Install

install.packages('adespatial')

Monthly Downloads

4,847

Version

0.1-1

License

GPL (>= 2)

Maintainer

Stéphane Dray

Last Published

January 16th, 2018

Functions in adespatial (0.1-1)

beta.div

Beta diversity computed as Var(Y)
beta.div.comp

Decompose D in replacement and richness difference components
aem.build.binary

Construct a site-by-edge binary matrix
aem.time

AEM for time series
aem.weight.edges

Weight edges when constructing AEM variables
bacProdxy

Bacterial production data set
Cperiodogram

Contingency periodogram
LCBD.comp

Compute LCBD from any D matrix
WRperiodogram

Whittaker-Robinson periodogram
aem

Construct asymmetric eigenvector maps (AEM)
global.rtest

Global and local tests
mastigouche

Mastigouche Lake network data set
msr.mantelrtest

Moran spectral randomization for Mantel test
msr.varipart

Moran spectral randomization for variation partitioning
dist.ldc

Dissimilarity matrices for community composition data
forward.sel

Forward selection with multivariate Y using permutation under reducel model
moran.bounds

Function to compute extreme values of Moran's I
moran.randtest

Function to compute Moran's index of spatial autocorrelation
createlistw

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

dbMEM spatial eigenfunctions
msr.4thcorner

Moran spectral randomization for fourth-corner analysis
msr

Moran spectral randomization
mst.nb

Function to compute neighborhood based on the minimum spanning tree
multispati

Multivariate spatial analysis
variogmultiv

Function to compute multivariate empirical variogram
test.W

Function to compute and test eigenvectors of spatial weighting matrices
trichoptera

Trichoptera data set
plot.orthobasisSp

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

Rotate a set of point by a certain angle
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
scores.listw

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

Function to choose a connection network
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
mfpa

Multi-frequential periodogram analysis
ortho.AIC

Compute AIC for models with orthonormal explanatory variables
orthobasis.poly

Function to compute polynomial of geographical coordinates
mspa

Multi-Scale Pattern Analysis
scalogram

Function to compute a scalogram
stimodels

Space-time interaction in ANOVA without replication