GEOS (>= 3.2.0); for building from source: GEOS
from https://libgeos.org; GEOS OSX frameworks built by William
Kyngesburye at http://www.kyngchaos.com/ may be used for source
installs on OSX.

Wrapper for the Geospatial Data Quality REST API
person("Javier", "Otegui", email="javier.otegui@gmail.com",
role=c("aut", "cre"))
Provides native wrappers for the functions available
via the spatial quality REST API. See <http://bit.ly/bioinformatics_btw057>
for more information on the API.
knitr, roxygen2, rmarkdown, testthat, covr, rgbif (>= 0.9.2),
rvertnet, rinat

An R library to build GEXF network files
George Vega Yon <george.vega@nodoschile.org>, Jorge Fabrega
Lacoa <jorge.fabrega@nodoschile.org>
Using data frames with nodes, edges, attributes and
date/time data, builds dynamic GEXF graph files.

George Vega Yon <george.vega@nodoschile.org> [aut], Jorge
Fabrega Lacoa <jorge.fabrega@nodoschile.org> [ctb]
The first R library to work with GEXF graph files. Using
XML library, it allows the user to easily build/read graph
files including attributes, GEXF viz attributes (such as
colour, size, and position), network dynamics (edges and nodes)
and edges weighting.

The first R package to work with GEXF graph files (used in
Gephi and others). Using XML library, it allows the user to
easily build/read graph files including attributes, GEXF viz
attributes (such as colour, size, and position), network
dynamics (for both edges and nodes, including spells) and edges
weighting. Users can build/handle graphs element-by-element or
massively through data-frames.

George Vega Yon <george.vega@nodoschile.org> [aut], Jorge Fabrega Lacoa <jorge.fabrega@nodoschile.org> [ctb], Joshua B. Kunst <jbkunst@gmail.com> [ctb]
The first R package to work with GEXF graph files (used in Gephi and others). Using XML library, it allows the user to easily build/read graph files including attributes, GEXF viz attributes (such as colour, size, and position), network dynamics (for both edges and nodes, including spells) and edges weighting. Users can build/handle graphs element-by-element or massively through data-frames, visualize the graph on a web browser through sigmajs javascript library and interact with the igraph package.