# __biodivMapR__ # An R package for α- and β-diversity mapping using remotely-sensed images [![build](https://img.shields.io/github/actions/workflow/status/jbferet/biodivMapR/tic.yml?branch=master)](https://github.com/jbferet/biodivMapR/actions) [![licence](https://img.shields.io/badge/Licence-GPL--3-blue.svg)](https://www.r-project.org/Licenses/GPL-3) [![version](https://img.shields.io/github/v/release/jbferet/biodivMapR?label=version)](https://github.com/jbferet/biodivMapR) [![version](https://img.shields.io/conda/vn/conda-forge/r-biodivmapr)](https://anaconda.org/conda-forge/r-biodivmapr) # 1 Install The package `remotes` first needs to be installed from the CRAN ``` install.packages("remotes") ``` `biodivMapR` should then be ready for installation with the following command line in your R session: ``` remotes::install_github('jbferet/biodivMapR') ``` # 2 Tutorial A tutorial vignette is available [here](https://jbferet.github.io/biodivMapR/articles/biodivMapR.html). # 3 Citation If you use **biodivMapR**, please cite the following references: Féret, J.-B., de Boissieu, F., 2019. biodivMapR: an R package for α‐ and β‐diversity mapping using remotely‐sensed images. Methods Ecol. Evol. 00:1-7. https://doi.org/10.1111/2041-210X.13310 Féret, J.-B., Asner, G.P., 2014. Mapping tropical forest canopy diversity using high-fidelity imaging spectroscopy. Ecol. Appl. 24, 1289–1296. https://doi.org/10.1890/13-1824.1 # 4 Acknowledgments / Fundings This research was supported by the Agence Nationale de la Recherche ([ANR](https://anr.fr/en/open-calls-and-preannouncements/), France) through the young researchers project **BioCop** (ANR-17-CE32-0001)