⚠️ This is an archive for the RangeShiftR package. Please use the new RangeShiftR repository ⚠️
RangeShiftR 
The RangeShiftR package implements the RangeShifter simulation platform for R.
RangeShifter is a state-of-the-art eco-evolutionary modelling platform that is becoming increasingly used worldwide for both theoretical and applied purposes (Bocedi et al. 2014).
RangeShifter is a spatially-explicit, individual-based simulation platform that allows modelling species’ range dynamics, such as expansion and shifting, and patch connectivity by linking complex local population dynamics and dispersal behaviour, while also taking into account inter-individual variability and evolutionary processes. RangeShifter is highly flexible in terms of the spatial resolution and extent, and regarding the complexity of the considered ecological processes. Due to its modular structure, the level of detail in demographic and dispersal processes can be easily adapted to different research questions and available data.
Installation
RangeShiftR is only available from this github repository. (It may move to CRAN in the future.)
RangeShiftR has to be built from source and requires the package Rcpp as
well as a functional C++ compiler toolchain.
# Install RangeShiftR from GitHub:
devtools::install_github("RangeShifter/RangeShiftR-package", ref="main")Usage
Please refer to our website for more information about RangeShifter simulation platform.
A range of tutorials with theoretical and applied examples introduce you to the package's functionality and syntax. They can be found here: https://rangeshifter.github.io/RangeshiftR-tutorials/
References
- Bocedi G, Palmer SCF, Pe’er G, Heikkinen RK, Matsinos YG, Watts K, Travis JMJ (2014). RangeShifter: A Platform for Modelling Spatial Eco-Evolutionary Dynamics and Species’ Responses to Environmental Changes. Methods in Ecology and Evolution 5: 388–96.
- Bocedi G, Palmer SCF, Malchow AK, Zurell D, Watts K, Travis JMJ (2021) RangeShifter 2.0: An extended and enhanced platform for modelling spatial eco-evolutionary dynamics and species’ responses to environmental changes. Ecography 44:1453-1462.
- Malchow AK, Bocedi G, Palmer SCF, Travis JMJ, Zurell D (2021) RangeShiftR: an R package for individual-based simulation of spatial eco-evolutionary dynamics and species’ responses to environmental change. Ecography 4: 1443-1452.