All functions

Cperiodogram()

Contingency periodogram

LCBD.comp()

Compute LCBD from any D matrix

ScotchWhiskey

Scotch Whiskey Data Set

TBI()

TBI: Difference between multivariate observations at T1 and T2

Tiahura

Tiahura Transect Fish Data Set

WRperiodogram() plot(<WRperio>)

Whittaker-Robinson periodogram

aem()

Construct asymmetric eigenvector maps (AEM)

aem.build.binary()

Construct a site-by-edge binary matrix

aem.time()

AEM for time series

aem.weight.edges() aem.weight.time()

Weight edges when constructing AEM variables

bacProdxy

Bacterial production data set

beta.div()

Beta diversity computed as Var(Y)

beta.div.comp()

Decompose D in replacement and richness difference components

chooseCN()

Function to choose a connection network

constr.hclust-class

Class For Constrained Hiereachical Clustering

constr.hclust()

Space- And Time-Constrained Clustering

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 partitioning using torus-translation (TT) or Moran Spectral Randomisation (MSR)

forward.sel()

Forward selection with multivariate Y using permutation under reducel model

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

global.rtest()

Global and local tests

listw.candidates()

Function to create a list of spatial weighting matrices

listw.explore()

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

listw.select()

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

mastigouche

Mastigouche Lake network data set

scores.listw() mem() orthobasis.listw() `[`(<orthobasisSp>)

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

mem.select()

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

mfpa() plot(<mfpa>) print(<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 spatial autocorrelation

mspa() scatter(<mspa>) print(<mspa>)

Multi-Scale Pattern Analysis

msr.4thcorner

Moran spectral randomization for fourth-corner analysis

msr()

Moran spectral randomization

msr(<mantelrtest>)

Moran spectral randomization for Mantel test

msr(<varipart>)

Moran spectral randomization for variation partitioning

mst.nb()

Function to compute neighborhood based on the minimum spanning tree

multispati() summary(<multispati>) print(<multispati>) plot(<multispati>)

Multivariate spatial analysis

ortho.AIC()

Compute AIC for models with orthonormal explanatory variables

orthobasis.poly()

Function to compute polynomial of geographical coordinates

plot(<TBI>)

Plots of the outputs of a temporal beta diversity analysis

plot(<constr.hclust>)

Plotting Method For Space- And Time-Constrained Clustering

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

scalogram() plot(<scalogram>)

Function to compute a scalogram

stimodels() quicksti()

Space-time interaction in ANOVA without replication

test.W()

Function to compute and test eigenvectors of spatial weighting matrices

tpaired.krandtest()

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

tpaired.randtest()

Permutational paired t-test

trichoptera

Trichoptera data set

variogmultiv()

Function to compute multivariate empirical variogram