PredictiveEcology/NetLogoR
Bauduin, S, Chubaty, A, McIntire, E, Kohli, M and Gruson, H
(2021).
PredictiveEcology/NetLogoR.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.3695051
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 modelItem Type | Dataset |
---|---|
Capture method | Unknown |
Date | 19 October 2021 |
Language(s) of written materials | English |
Creator(s) |
Bauduin, S, Chubaty, A, McIntire, E, Kohli, M and Gruson, H |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 22 Oct 2021 08:09 |
Last Modified | 22 Oct 2021 08:09 |
Publisher | Zenodo |
ORCID: https://orcid.org/0000-0002-4094-1476