NetLogoR: a package to build and run spatially explicit agent‐based models in R. Issue 11 (14th October 2019)

• Record Type: Journal Article
• Authors: Bauduin, Sarah; McIntire, Eliot J. B.; Chubaty, Alex M.
• Is Part Of: Ecography. Volume 42:Issue 11(2019)
• Page Start: 1841
• Page End: 1849
• Publication Date: 2019-10-14
• Subjects: agent-based model -- individual-based model -- NetLogo -- R package; Ecology -- Periodicals; Biodiversity -- Periodicals; 574.5
• DOI: 10.1111/ecog.04516
• Languages: English
• ISSNs: 0906-7590

Abstract

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.