NetLogoR

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")'.

Last 30 days

This package has been downloaded 430 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 4,845 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was May 02, 2024 with 175 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.