adespatial0.3-28 package

Multivariate Multiscale Spatial Analysis

aem.build.binary

Construct a site-by-edge binary matrix

aem

Construct asymmetric eigenvector maps (AEM)

aem.time

AEM for time series

aem.weight.edges

Weight edges when constructing AEM variables

beta.div.comp

Decompose D in replacement and richness difference components

beta.div

Beta diversity computed as Var(Y)

chooseCN

Function to choose a connection network

constr.hclust-class

Class For Constrained Hiereachical Clustering

constr.hclust

Space- And Time-Constrained Clustering

Cperiodogram

Contingency periodogram

create.dbMEM.model

Combine dbMEM matrices corresponding to groups of sites

dbmem

dbMEM spatial eigenfunctions

directional.response

Directional indices of community change

dist.ldc

Dissimilarity matrices for community composition data

envspace.test

Perform a test of the shared space-environment fraction of a variation...

forward.sel.par

Parametric forward selection of explanatory variables in regression an...

forward.sel

Forward selection with multivariate Y using permutation under reducel ...

geoDist

Geodetic Distances from Latitude and Longitude

geoXY

Geodetic Coordinates from Latitude and Longitude

give.thresh

Compute the maximum distance of the minimum spanning tree based on a d...

global.rtest

Global and local tests

LCBD.comp

Compute LCBD from any D matrix

listw.candidates

Function to create a list of spatial weighting matrices

listw.explore

Interactive tool to generate R code that creates a spatial weighting m...

listw.select

Function to optimize the selection of a spatial weighting matrix and s...

mem

Function to compute and manage Moran's Eigenvector Maps (MEM) of a lis...

mem.select

Selection of the best subset of spatial eigenvectors (MEM, Moran's Eig...

mfpa

Multi-frequential periodogram analysis

moran.bounds

Function to compute extreme values of Moran's I

moran.randtest

Function to compute Moran's index of spatial autocorrelation

moranNP.randtest

Function to compute positive and negative parts of Moran's index of sp...

mspa

Multi-Scale Pattern Analysis

msr.4thcorner

Moran spectral randomization for fourth-corner analysis

msr.mantelrtest

Moran spectral randomization for Mantel test

msr

Moran spectral randomization

msr.varipart

Moran spectral randomization for variation partitioning

mst.nb

Function to compute neighborhood based on the minimum spanning tree

multispati

Multivariate spatial analysis

ortho.AIC

Compute AIC for models with orthonormal explanatory variables

orthobasis.poly

Function to compute polynomial of geographical coordinates

plot.constr.hclust

Plotting Method For Space- And Time-Constrained Clustering

plot.orthobasisSp

Function to display Moran's Eigenvector Maps (MEM) and other spatial o...

plot.TBI

Plots of the outputs of a temporal beta diversity analysis

rotation

Rotate a set of point by a certain angle

scalogram

Function to compute a scalogram

stimodels

Space-time interaction in ANOVA without replication

TBI

TBI: Difference between multivariate observations at T1 and T2

test.W

Function to compute and test eigenvectors of spatial weighting matrice...

tpaired.krandtest

Paired t-tests of differences between T1 and T2 for each species

tpaired.randtest

Permutational paired t-test

variogmultiv

Function to compute multivariate empirical variogram

WRperiodogram

Whittaker-Robinson periodogram

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). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.

  • Maintainer: AurĂ©lie Siberchicot
  • License: GPL (>= 2)
  • Last published: 2025-04-16