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

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 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