Bauduin, S, Chubaty, A, McIntire, E, Kohli, M and Gruson, H. 2021. PredictiveEcology/NetLogoR. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.3695051
Bauduin, S, Chubaty, A, McIntire, E, Kohli, M and Gruson, H. PredictiveEcology/NetLogoR [Internet]. Zenodo; 2021. Available from: https://doi.org/10.5281/zenodo.3695051
Bauduin, S, Chubaty, A, McIntire, E, Kohli, M and Gruson, H (2021). PredictiveEcology/NetLogoR. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3695051
Description
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
| Data capture method | Unknown |
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| Date (Date published in a 3rd party system) | 19 October 2021 |
| Language(s) of written materials | English |
| Date Deposited | 22 Oct 2021 08:09 |
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| Last Modified | 22 Oct 2021 08:09 |
| Publisher | Zenodo |
