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letsR: Data Handling and Analysis in Macroecology
Handling, processing, and analyzing geographic data on species' distributions and environmental variables. Read Vilela & Villalobos (2015) <doi:10.1111/2041-210X.12401> for details.
Getting started
Package overview
README.md
Adding variables to a PresenceAbsence object
A guide to transform species distributions into a presence absence matrix based on a user-defined grid in R
Cropping and subseting your presence absence matrix
How to save and load a PresenceAbsence object
Macroecological analysis at the species level
Mapping species traits: community level analysis
Browse package contents
Package details |
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| Author | Bruno Vilela [aut, cre] (<https://orcid.org/0000-0003-4072-0558>), Fabricio Villalobos [aut] (<https://orcid.org/0000-0002-5230-2217>) |
| Maintainer | Bruno Vilela <bvilela.bv@gmail.com> |
| License | GPL-2 |
| Version | 5.0 |
| URL | https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.12401 https://github.com/macroecology/letsR https://brunovilela.github.io/letsR/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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