NetLogoR

Build and Run Spatially Explicit Agent-Based Models

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Build and run spatially explicit agent-based models using only the R platform. 'NetLogoR' follows the same framework as the 'NetLogo' software (Wilensky (1999) http://ccl.northwestern.edu/netlogo/) and is a translation in R of the structure and functions of 'NetLogo'. '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' framework, coupled with the versatility, power and massive resources of the R software. Examples of two models from the NetLogo software repository (Ants http://ccl.northwestern.edu/netlogo/models/Ants) and Wolf-Sheep-Predation (http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation), and a third, Butterfly, from Railsback and Grimm (2012) https://www.railsback-grimm-abm-book.com/, all written using 'NetLogoR' are available. The 'NetLogo' code of the original version of these models is provided alongside. A programming guide inspired from the 'NetLogo' Programming Guide (https://ccl.northwestern.edu/netlogo/docs/programming.html) and a dictionary of 'NetLogo' primitives (https://ccl.northwestern.edu/netlogo/docs/dictionary.html) equivalences are also available. NOTE: To increment 'time', these functions can use a for loop or can be integrated with a discrete event simulator, such as 'SpaDES' (https://cran.r-project.org/package=SpaDES). The suggested package 'fastshp' can be installed with 'install.packages("fastshp", repos = ("https://rforge.net"), type = "source")'.


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