NetLogoR: a package to build and run spatially explicit agent-based models in R. Bauduin, S., McIntire, E. J. B., & Chubaty, A. M. Ecography, 42(11):1841–1849, 2019. 10 citations (Crossref) [2024-01-10] 11 citations (Semantic Scholar/DOI) [2023-09-19] ZSCC: 0000003
NetLogoR: a package to build and run spatially explicit agent-based models in R [link]Paper  doi  abstract   bibtex   
NetLogoR is an R package to build and run spatially explicit agent-based models (SE-ABMs) using the R language. SE-ABMs are models that simulate the fate of entities at the individual level within a spatial context and where patterns emerge at the population level. NetLogoR follows the same framework as the NetLogo software (Wilensky 1999). Rather than a call function to use the NetLogo software, NetLogoR is a translation into the R language of the structure and functions of NetLogo. Models built with NetLogoR are written in R language and are run on the R platform; no other software or language has to be involved. NetLogoR provides new R classes to define model agent objects and functions to implement spatially explicit agent-based models in the R environment. Users of this package benefit from the fast and easy coding provided by the highly developed NetLogo framework, coupled with the versatility, power and massive resources of the R language.
@article{bauduin_netlogor_2019,
	title = {{NetLogoR}: a package to build and run spatially explicit agent-based models in {R}},
	volume = {42},
	copyright = {© 2019 Her Majesty the Queen in Right of Canada. Ecography published by John Wiley \& Sons Ltd on behalf of Nordic Society Oikos.},
	issn = {1600-0587},
	shorttitle = {{NetLogoR}},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/ecog.04516},
	doi = {10.1111/ecog.04516},
	abstract = {NetLogoR is an R package to build and run spatially explicit agent-based models (SE-ABMs) using the R language. SE-ABMs are models that simulate the fate of entities at the individual level within a spatial context and where patterns emerge at the population level. NetLogoR follows the same framework as the NetLogo software (Wilensky 1999). Rather than a call function to use the NetLogo software, NetLogoR is a translation into the R language of the structure and functions of NetLogo. Models built with NetLogoR are written in R language and are run on the R platform; no other software or language has to be involved. NetLogoR provides new R classes to define model agent objects and functions to implement spatially explicit agent-based models in the R environment. Users of this package benefit from the fast and easy coding provided by the highly developed NetLogo framework, coupled with the versatility, power and massive resources of the R language.},
	language = {en},
	number = {11},
	urldate = {2020-04-23},
	journal = {Ecography},
	author = {Bauduin, Sarah and McIntire, Eliot J. B. and Chubaty, Alex M.},
	year = {2019},
	note = {10 citations (Crossref) [2024-01-10]
11 citations (Semantic Scholar/DOI) [2023-09-19]
ZSCC: 0000003},
	keywords = {NetLogo, R package, agent-based model, individual-based model},
	pages = {1841--1849},
}

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