pMEM
Predictive Moran's Eigenvector Maps
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0-1 |
rolling linux/jammy R-4.5 | pMEM_1.0-1.tar.gz |
219.5 KiB |
1.0-1 |
rolling linux/noble R-4.5 | pMEM_1.0-1.tar.gz |
219.2 KiB |
1.0-1 |
rolling source/ R- | pMEM_1.0-1.tar.gz |
365.7 KiB |
1.0-1 |
latest linux/jammy R-4.5 | pMEM_1.0-1.tar.gz |
219.5 KiB |
1.0-1 |
latest linux/noble R-4.5 | pMEM_1.0-1.tar.gz |
219.2 KiB |
1.0-1 |
latest source/ R- | pMEM_1.0-1.tar.gz |
365.7 KiB |
1.0-1 |
2026-04-26 source/ R- | pMEM_1.0-1.tar.gz |
365.7 KiB |
1.0-1 |
2026-04-23 source/ R- | pMEM_1.0-1.tar.gz |
365.7 KiB |
1.0-1 |
2026-04-09 windows/windows R-4.5 | pMEM_1.0-1.zip |
540.0 KiB |
0.1-1 |
2025-04-20 source/ R- | pMEM_0.1-1.tar.gz |
322.4 KiB |