pMEM
Predictive Moran's Eigenvector Maps
Calculation of Predictive Moran's eigenvector maps (pMEM), as defined by Guénard and Legendre (In Press) "Spatially-explicit predictions using spatial eigenvector maps" doi:10.5281/zenodo.13356457. 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.
- Version0.1-1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- pMEM citation info
- Last release09/30/2024
Documentation
Team
Guillaume Guénard
Pierre Legendre
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 151 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 816 times in the last 365 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The day with the most downloads was Oct 02, 2024 with 36 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports1 package
- Suggests4 packages
- Linking To1 package