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Multivariate Multiscale Spatial Analysis

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>.

 Name Description ScotchWhiskey Scotch Whiskey Data Set TBI TBI: Difference between multivariate observations at T1 and T2 envspace.test Perform a test of the shared space-environment fraction of a variation partitioning using torus-translation (TT) or Moran Spectral Randomisation (MSR) listw.explore Interactive tool to generate R code that creates a spatial weighting matrix forward.sel Forward selection with multivariate Y using permutation under reducel model 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 plot.TBI Plots of the outputs of a temporal beta diversity analysis plot.constr.hclust Plotting Method For Space- And Time-Constrained Clustering msr.mantelrtest Moran spectral randomization for Mantel test bacProdxy Bacterial production data set aem.build.binary Construct a site-by-edge binary matrix aem.weight.edges Weight edges when constructing AEM variables aem.time AEM for time series dbmem dbMEM spatial eigenfunctions beta.div Beta diversity computed as Var(Y) tpaired.randtest Permutational paired t-test beta.div.comp Decompose D in replacement and richness difference components dist.ldc Dissimilarity matrices for community composition data moran.randtest Function to compute Moran's index of spatial autocorrelation mastigouche Mastigouche Lake network data set moran.bounds Function to compute extreme values of Moran's I scores.listw Function to compute and manage Moran's Eigenvector Maps (MEM) of a listw object tpaired.krandtest Paired t-tests of differences between T1 and T2 for each species global.rtest Global and local tests test.W Function to compute and test eigenvectors of spatial weighting matrices variogmultiv Function to compute multivariate empirical variogram Cperiodogram Contingency periodogram msr.4thcorner Moran spectral randomization for fourth-corner analysis listw.candidates Function to create a list of spatial weighting matrices ortho.AIC Compute AIC for models with orthonormal explanatory variables msr Moran spectral randomization constr.hclust-class Class For Constrained Hiereachical Clustering mfpa Multi-frequential periodogram analysis trichoptera Trichoptera data set LCBD.comp Compute LCBD from any D matrix chooseCN Function to choose a connection network mem.select Selection of the best subset of spatial eigenvectors (MEM, Moran's Eigenvector Maps) aem Construct asymmetric eigenvector maps (AEM) WRperiodogram Whittaker-Robinson periodogram plot.orthobasisSp Function to display Moran's Eigenvector Maps (MEM) and other spatial orthogonal bases mst.nb Function to compute neighborhood based on the minimum spanning tree multispati Multivariate spatial analysis rotation Rotate a set of point by a certain angle orthobasis.poly Function to compute polynomial of geographical coordinates constr.hclust Space- And Time-Constrained Clustering create.dbMEM.model Combine dbMEM matrices corresponding to groups of sites give.thresh Compute the maximum distance of the minimum spanning tree based on a distance matrix forward.sel.par Parametric forward selection of explanatory variables in regression and RDA moranNP.randtest Function to compute positive and negative parts of Moran's index of spatial autocorrelation stimodels Space-time interaction in ANOVA without replication mspa Multi-Scale Pattern Analysis scalogram Function to compute a scalogram No Results!