| ecospat-package {ecospat} | R Documentation |
Spatial Ecology Miscellaneous Methods
Description
Collection of methods, utilities and data sets for the support of spatial ecology analyses with a focus on pre-, core and post- modelling analyses of species distribution, niche quantification and community assembly. The ecospat package was written by current and former members and collaborators of the ecospat group of Antoine Guisan, Department of Ecology and Evolution (DEE) & Institute of Earth Surface Dynamics (IDYST), University of Lausanne, Switzerland.
Pre-modelling:
Spatial autocorrelation:
ecospat.mantel.correlogramVariable selection:
ecospat.npredClimate Analalogy:
ecospat.climan, ecospat.mess, ecospat.plot.messPhylogenetic diversity measures:
ecospat.calculate.pdBiotic Interactions:
ecospat.cons_Cscore, ecospat.Cscore, ecospat.co_occurrencesMinimum Dispersal routes:
ecospat.mdrNiche Quantification:
ecospat.grid.clim.dyn, ecospat.niche.equivalency.test, ecospat.niche.similarity.test, ecospat.plot.niche, ecospat.plot.niche.dyn, ecospat.plot.contrib, ecospat.niche.overlap, ecospat.plot.overlap.test, ecospat.niche.dyn.index, ecospat.shift.centroids, ecospat.niche.dynIndexProjGeo, ecospat.niche.zProjGeo, ecospat.margin,ecospat.nichePOSNB,ecospat.nicheNBmeanData Preparation:
ecospat.caleval, ecospat.cor.plot, ecospat.occ.desaggregation, ecospat.rand.pseudoabsences, ecospat.rcls.grd, ecospat.recstrat_prop, ecospat.recstrat_regl, ecospat.sample.envar
Core Niche Modelling:
Model evaluation:
ecospat.cv.glm, ecospat.permut.glm, ecospat.cv.gbm, ecospat.cv.me, ecospat.cv.rf, ecospat.boyce, ecospat.CommunityEval, ecospat.cohen.kappa, ecospat.max.kappa, ecospat.max.tss, ecospat.meva.table, ecospat.plot.kappa, ecospat.plot.tss, ecospat.adj.D2.glm, ecospat.CCV.createDataSplitTable, ecospat.CCV.modeling, ecospat.CCV.communityEvaluation.bin, ecospat.CCV.communityEvaluation.prob,ecospat.ESM.EnsembleEvaluation,ecospat.poolingEvaluationSpatial predictions and projections:
ecospat.ESM.Modeling, ecospat.ESM.EnsembleModeling, ecospat.ESM.Projection, ecospat.ESM.EnsembleProjection, ecospat.SESAM.prr, ecospat.binary.model, ecospat.Epred, ecospat.mpaVariable Importance:
ecospat.maxentvarimport, ecospat.ESM.VarContrib
Post Modelling:
Variance Partition:
ecospat.varpartSpatial predictions of species assemblages:
ecospat.cons_CscoreRange size quantification:
ecospat.rangesize, ecospat.occupied.patch