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pMEM

Predictive Moran's Eigenvector Maps

v1.0-1 · Mar 8, 2026 · GPL-3

Description

Calculate Predictive Moran's Eigenvector Maps (pMEM) for spatially-explicit prediction of environmental variables, as defined by Guénard and Legendre (2024) <doi:10.1111/2041-210X.14413>. pMEM extends classical MEM by enabling interpolation and prediction at unsampled locations using spatial weighting functions parameterized by range (and optionally shape). The package implements multiple pMEM types (e.g., exponential, Gaussian, linear) and features a modular architecture that allows programmers to define custom weighting functions. Designed for ecologists, geographers, and spatial analysts working with spatially-structured data.

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7 OK
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r-devel-linux-x86_64-fedora-clang OK
r-devel-macos-arm64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
Check details (7 non-OK)
OK r-devel-linux-x86_64-fedora-clang

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OK r-devel-macos-arm64

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OK r-oldrel-macos-arm64

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OK r-oldrel-macos-x86_64

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OK r-oldrel-windows-x86_64

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OK r-release-macos-arm64

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OK r-release-macos-x86_64

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Check History

OK 7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies sf Rcpp pMEM

Version History

new 1.0-1 Mar 10, 2026