MAPI

MAPI is available as a R package from the CRAN repository: https://cran.r-project.org/package=mapi

Since 2021-12-06, MAPI package is also available from the conda forge.
It can be installed in (Ana)conda environements using following command:

conda install -c conda-forge r-mapi

New release 1.1.0 allow computations on the sphere. Some worldwide grids (levels 1 to 11) have been precomputed using dggridR and can be found here. Once downloaded, read a grid geopackage using st_read from sf package such as:

grid <- sf::st_read("grid06.gpkg")

You may also download the latest package from the links below:

The latest R package and its current PDF documentation.
- Linux / Mac: mapi_1.1.0.tar.gz
- Windows (for R 4.2): mapi_1.1.0.zip
- Windows (for R 4.1): mapi_1.1.0.zip
Windows version were compiled thanks to https://win-builder.r-project.org.
Old versions:
- Linux / Mac: mapi_1.0.5.tar.gz
- Windows (for R 4.1): mapi_1.0.5.zip
- Windows (for R 4.0): mapi_1.0.5.zip
- Version 1.0.0 PDF documentation
- Linux / Mac: mapi_1.0.1.tar.gz
- Windows (for R 3.6): mapi_1.0.1-74.zip
- Windows (for R 3.7): mapi_1.0.1-74.zip
- Windows (for R 3.5): mapi_1.0.1-74.zip
Windows version were compiled thanks to https://win-builder.r-project.org.

The original PostgreSQL/Postgis version is still available:

MAPI 1.0.1 PostgreSQL extension: mapi--1.0.1.zip (or mapi--1.0.1_windows.zip for Windows) including manual [5 MiB].
The User Manual in high-quality PDF [13 MiB];
mapi_examples.zip file contains a training simulated dataset and a true dataset with a R script template for running MAPI [1.5 MiB].

Simulations processed by MAPI:

You can browse all our population genetics simulated datasets and results along with GeneLand, DAPC and EEMS results..
Impact of parameters (beta, eccentricity) on some of these simulations.
Here are our Landscape Genetics simulations processed by MAPI.

Want to discover MAPI usefulness? Enjoy our showroom (in progress):

3D visualization of two carab species genetic distances over landscape (CORINE landcover, 2000): C. punctatoauratus and C. nemoralis.
Zoom and rotate the images in order to explore links between landcover and genetic distances.
Another view for C. punctatoauratus where the relief is infact the genetic similarity (the higher, the more similar) with a superimposed OpenStreetMap layer.
Enable or disable layers from top-right menu. Thanks to "Qgis2threejs" QGis plugin!
Animation illustrating genetic links during a simulation of invasion process along a river.