| 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 | Weight edges when constructing AEM variables | 
| 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 | Space- And Time-Constrained Clustering | 
| constr.hclust-class | Class For Constrained Hiereachical 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 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 | 
| 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 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) | 
| local.rtest | Global and local tests | 
| mastigouche | Mastigouche Lake network data set | 
| mem | 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 | 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 | Multi-Scale Pattern Analysis | 
| msr | Moran spectral randomization | 
| msr.4thcorner | Moran spectral randomization for fourth-corner analysis | 
| msr.default | 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 | Multivariate spatial analysis | 
| ortho.AIC | Compute AIC for models with orthonormal explanatory variables | 
| orthobasis.listw | Function to compute and manage Moran's Eigenvector Maps (MEM) of a listw object | 
| orthobasis.poly | Function to compute polynomial of geographical coordinates | 
| plot.constr.hclust | Plotting Method For Space- And Time-Constrained Clustering | 
| plot.mfpa | Multi-frequential periodogram analysis | 
| plot.multispati | Multivariate spatial analysis | 
| plot.orthobasisSp | Function to display Moran's Eigenvector Maps (MEM) and other spatial orthogonal bases | 
| plot.scalogram | Function to compute a scalogram | 
| plot.TBI | Plots of the outputs of a temporal beta diversity analysis | 
| plot.WRperio | Whittaker-Robinson periodogram | 
| print.mfpa | Multi-frequential periodogram analysis | 
| print.mspa | Multi-Scale Pattern Analysis | 
| print.multispati | Multivariate spatial analysis | 
| quicksti | Space-time interaction in ANOVA without replication | 
| rotation | Rotate a set of point by a certain angle | 
| scalogram | Function to compute a scalogram | 
| scatter.mspa | Multi-Scale Pattern Analysis | 
| scores.listw | Function to compute and manage Moran's Eigenvector Maps (MEM) of a listw object | 
| ScotchWhiskey | Scotch Whiskey Data Set | 
| stimodels | Space-time interaction in ANOVA without replication | 
| summary.multispati | Multivariate spatial analysis | 
| TBI | TBI: Difference between multivariate observations at T1 and T2 | 
| test.W | Function to compute and test eigenvectors of spatial weighting matrices | 
| Tiahura | Tiahura Transect Fish Data Set | 
| 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 | 
| WRperiodogram | Whittaker-Robinson periodogram | 
| [.orthobasisSp | Function to compute and manage Moran's Eigenvector Maps (MEM) of a listw object |