Easy installation, loading, and control of packages for redistricting
    data downloading, spatial data processing, simulation, analysis, and 
    visualization. This package makes it easy to install and load multiple 
    'redistverse' packages at once. The 'redistverse' is developed and maintained 
    by the Algorithm-Assisted Redistricting Methodology (ALARM) Project.
    For more details see <https://alarm-redist.org>.

Provides methods to parse, query and serialize information
    stored in the Resource Description Framework (RDF). RDF is described at <https://www.w3.org/TR/rdf-primer/>.
    This package supports RDF by implementing an R interface to the Redland RDF C library,
    described at <https://librdf.org/docs/api/index.html>. In brief, RDF provides a structured graph
    consisting of Statements composed of Subject, Predicate, and Object Nodes.

Provides an interface to access data from the International Union 
    for Conservation of Nature (IUCN) Red List <https://api.iucnredlist.org/api-docs/index.html>. It allows users to retrieve up-to-date 
    information on species' conservation status, supporting biodiversity research 
    and conservation efforts.

A toolbox created by members of the International Union for
    Conservation of Nature (IUCN) Red List of Ecosystems Committee for
    Scientific Standards. Primarily, it is a set of tools suitable for
    calculating the metrics required for making assessments of species and
    ecosystems against the IUCN Red List of Threatened Species and the
    IUCN Red List of Ecosystems categories and criteria. See the IUCN
    website for detailed guidelines, the criteria, publications and other
    information.

An implementation of 'EDM' algorithms based on research software developed for internal use at the Sugihara Lab ('UCSD/SIO').  The package is implemented with 'Rcpp' wrappers around the 'cppEDM' library.  It implements the 'simplex' projection method from Sugihara & May (1990) <doi:10.1038/344734a0>, the 'S-map' algorithm from Sugihara (1994) <doi:10.1098/rsta.1994.0106>, convergent cross mapping described in Sugihara et al. (2012) <doi:10.1126/science.1227079>, and, 'multiview embedding' described in Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.