PredictiveEcology/NetLogoR

Bauduin, S; Chubaty, A; McIntire, E; Kohli, M and Gruson, HORCID logo (2021). PredictiveEcology/NetLogoR. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.3695051
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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.

Keywords

Agent-based data model

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