Designed to create interactive and visually compelling network maps using R Shiny. It allows users to quickly analyze CSV files and visualize complex relationships, structures, and connections within data by leveraging powerful network analysis libraries and dynamic web interfaces.

Build and run spatially explicit
    agent-based models using only the R platform. 'NetLogoR' follows the same
    framework as the 'NetLogo' software
    (Wilensky (1999) <https://www.netlogo.org>) 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 <https://ccl.northwestern.edu/netlogo/models/Ants>) and 
    Wolf-Sheep-Predation 
    (<https://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://docs.netlogo.org/programming.html>) and a dictionary
    of 'NetLogo' primitives (<https://docs.netlogo.org/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>).

Represent 'network' or 'igraph' objects whose vertices can be represented by features in an 'sf' object as a network graph surmising a 'sf' plot. Fits into 'ggplot2' grammar.