Build and run spatially explicit agent-based models in R
NetLogoR is an R package to build and run spatially explicit agent-based models using only the R platform (Bauduin et al., 2019).
It follows the same framework as NetLogo (Wilensky, 1999) and is a translation in R language of the structure and functions of NetLogo (NetLogo primitives).
NetLogoR provides new R classes to define model agents and functions to implement spatially explicit agent-based models in the R environment.
This package allows benefiting of the fast and easy coding phase from the highly developed NetLogo's framework, coupled with the versatility, power and massive resources of the R software.
Examples of three models (Ants, Butterfly (Railsback and Grimm, 2012) and Wolf-Sheep-Predation) written using
NetLogoR are available. The NetLogo code of the original version of these models is provided alongside.
A programming guide inspired from the NetLogo Programming Guide and a dictionary of NetLogo primitives equivalences are also available.
A model simulating the wolf life cycle written using
NetLogoR has been published (Bauduin et al., 2020) with the (code available on GitHub).
We have created a Google group for users to get help implementing their models using the package. Please see the discussions at https://groups.google.com/g/netlogor.