Handling, processing, and analyzing geographic
data on species' distributions and environmental variables.
Read Vilela & Villalobos (2015)
The letsR package is being developed to help researchers in the handling, processing, and analysis of macroecological data. Its purpose is to integrate these methodological processes into a single software platform for macroecological analyses. The package's main functions allow users to build presence-absence matrices, the basic analytical tool in macroecology, from species' geographical distributions and merge them with species' traits, conservation information(downloadable using functions from this package) and spatial environmental layers. In addition, other package's functions enable users to summarize and visualize information from presence-absence matrices.
All functions in this package use a prefix and a suffix separated by a dot.
The prefix refers to the package's name and the suffix to the actual function.
This is done to avoid confusion with potentially similarly-named functions from other R packages.
For instance, the letsR function used to create presence-absence matrices is called
lets.presab (but see also
lets.presab.points) whereas the one used to add variables to a presence-absence matrix is called
The package's basic functions create and work on a particular S3 object class called
PresenceAbsence object class allows storing information beyond presence-absence data (e.g. user-defined grid-cell system) and using the generic
Another set of functions in this package allow the user to download species' information related to their description and conservation status as provided by the IUCN's REdList database (
lets.iucn.his). For this, such functions use the IUCN's RedList API to retrieve information from its webpage.
The letsR package is in continuous development and suggestions are more than welcome!
We hope you enjoy it and find it useful.
letsR from CRAN
letsR developers version from github
OBS.: To download the developers version you will need to have the git software installed (http://git-scm.com/). If you are a windows user you will also need to download the Rtools (http://cran.r-project.org/bin/windows/Rtools/).