NetLogoR: a package to build and run spatially explicit agent‐based models in R
Citations Over TimeTop 24% of 2019 papers
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.
Related Papers
- → RNETLOGO: an R package for running and exploring individual‐based models implemented in NETLOGO(2012)74 cited
- → KODAMA: an R package for knowledge discovery and data mining(2016)58 cited
- → RainfallErosivityFactor: An R package for rainfall erosivity (R-factor) determination(2020)24 cited
- → ipADMIXTURE: R package for inferring sub-population clusters based on genetic admixture(2020)2 cited
- → FunctanSNP: an R package for functional analysis of dense SNP data (with interactions)(2023)