Estimation of various biodiversity indices and related (dis)similarity measures based on individual-based (abundance) data or sampling-unit-based (incidence) data taken from one or multiple communities/assemblages.

Metapackage for implementing a variety of event-based models, with
    a focus on spatially explicit models. These include raster-based,
    event-based, and agent-based models. The core simulation components
    (provided by 'SpaDES.core') are built upon a discrete event simulation (DES;
    see Matloff (2011) ch 7.8.3 <https://nostarch.com/artofr.htm>)
    framework that facilitates modularity, and easily enables the user to
    include additional functionality by running user-built simulation modules
    (see also 'SpaDES.tools'). Included are numerous tools to visualize rasters
    and other maps (via 'quickPlot'), and caching methods for reproducible
    simulations (via 'reproducible'). Tools for running simulation experiments are
    provided by 'SpaDES.experiment'. Additional functionality is provided by
    the 'SpaDES.addins' and 'SpaDES.shiny' packages.

Provides the core framework for a discrete event system to 
    implement a complete data-to-decisions, reproducible workflow.
    The core components facilitate the development of modular pieces, 
    and enable the user to include additional functionality by running user-built modules.
    Includes conditional scheduling, restart after interruption, packaging of
    reusable modules, tools for developing arbitrary automated workflows,
    automated interweaving of modules of different temporal resolution,
    and tools for visualizing and understanding the within-project dependencies. 
    The suggested package 'NLMR' can be installed from the repository 
    (<https://PredictiveEcology.r-universe.dev>).

Provides GIS and map utilities, plus additional modeling
    tools for developing cellular automata, dynamic raster models, and
    agent based models in 'SpaDES'.  Included are various methods for
    spatial spreading, spatial agents, GIS operations, random map
    generation, and others.  See '?SpaDES.tools' for an categorized
    overview of these additional tools.  The suggested package 'NLMR' can
    be installed from the following repository:
    (<https://PredictiveEcology.r-universe.dev>).