NetLogoR: Build and Run Spatially Explicit Agent-Based Models

Build and run spatially explicit agent-based models using only the R platform. 'NetLogoR' follows the same framework as the 'NetLogo' software (Wilensky, 1999 <>) 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 three models (Ants <>, Butterfly (Railsback and Grimm, 2012) and Wolf-Sheep-Predation <>) 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 (<>) and a dictionary of 'NetLogo' primitives (<>) 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' (<>). The suggested package 'fastshp' can be installed with 'install.packages("fastshp", repos = "", type = "source")'.

Package details

AuthorSarah Bauduin [aut, cre] (<>), Eliot J B McIntire [aut] (<>), Alex M Chubaty [aut] (<>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
MaintainerSarah Bauduin <[email protected]>
Package repositoryView on CRAN
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NetLogoR documentation built on Oct. 8, 2018, 1:04 a.m.