PredictiveEcology/NetLogoR: Build and Run Spatially Explicit Agent-Based Models
Version 0.3.3

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 = "https://rforge.net", type = "source")'.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.3.3
URL http://netlogor.predictiveecology.org
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("PredictiveEcology/NetLogoR")
PredictiveEcology/NetLogoR documentation built on June 14, 2018, 2:15 p.m.