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).
NetLogoRinstall.packages("NetLogoR")#install.packages("devtools")
devtools::install_github("PredictiveEcology/NetLogoR")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.