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pMEM (version 0.1-1)

Predictive Moran's Eigenvector Maps

Description

Calculation of Predictive Moran's eigenvector maps (pMEM), as defined by Guénard and Legendre (In Press) "Spatially-explicit predictions using spatial eigenvector maps" . Methods in Ecology and Evolution. This method enables scientists to predict the values of spatially-structured environmental variables. Multiple types of pMEM are defined, each one implemented on the basis of spatial weighting function taking a range parameter, and sometimes also a shape parameter. The code's modular nature enables programers to implement new pMEM by defining new spatial weighting functions.

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Version

Install

install.packages('pMEM')

Monthly Downloads

69

Version

0.1-1

License

GPL-3

Maintainer

Guillaume Guénard

Last Published

September 30th, 2024

Functions in pMEM (0.1-1)

getMinMSE

Simple Orthogonal Term Selection Regression
salmon

The St. Marguerite River Altantic Salmon Parr Transect
genDWF

Distance Weighting Function Generator
genDistMetric

Distance Metric Function Generator
SEMap-class

Class and Methods for Predictive Moran's Eigenvector Maps (pMEM)
geoMite

Borcard's Oribatid Mite Data Set - Geographic Information System Version -