brshipley/megaSDM: Integrating Dispersal and Time-step Analyses into Species Distribution Models

This package can efficiently create and project species distribution models using the MaxEnt algorithm and parallel processing. It can find and download occurrence data for a list of species on GBIF (Global Biodiversity Information Facility), environmentally subsample the occurrences to mitigate spatial bias, generate background (pseudo-absence) points, train the model and project it to different times (incorporating dispersal rate of each species and intermediate range fluctuations), and create species richness maps for each time period and taxon.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version2.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("brshipley/megaSDM")
brshipley/megaSDM documentation built on Nov. 26, 2024, 6:08 a.m.