Title: GeoJSON to Simple Feature Converter
Description: Converts GeoJSON to simple feature objects.

Description: Converts Between GeoJSON and simple feature objects.

LinkingTo: jsonify (>= 0.1.1), rapidjsonr (>= 1.1), Rcpp
Suggests: covr, jsonify, knitr, rmarkdown, testthat

LinkingTo: Rcpp, rapidjsonr (>= 1.1), jsonify (>= 0.1.1)
Imports: Rcpp, rapidjsonr (>= 1.1), jsonify (>= 0.1.1), curl

LinkingTo: BH, jsonify (>= 0.2.0), rapidjsonr (>= 1.1), Rcpp

LinkingTo: jsonify (>= 1.1.1), rapidjsonr (>= 1.2.0), Rcpp, sfheaders

LinkingTo: geometries, jsonify (>= 1.1.1), rapidjsonr (>= 1.2.0), Rcpp,
Suggests: covr, jsonify, knitr, rmarkdown, tinytest

Title: Web-Processing of Large Gridded Datasets
Authors@R: c( person("Jordan", "Read", role = c("aut","cre"),
person("Jordan", "Walker", role = c("aut"),
person("Alison", "Appling", role = c("aut"),
person("David", "Blodgett", role = c("aut"),
person("Emily", "Read", role = c("aut"),
person("Luke", "Winslow", role = c("aut"),
Description: Processes gridded datasets found on the
U.S. Geological Survey Geo Data Portal web application or elsewhere,
using a web-enabled workflow that eliminates the need to download and store
large datasets that are reliably hosted on the Internet. The package provides
access to several data subset and summarization algorithms that are available
Suggests: testthat, xtable, knitr, rmarkdown

Description: Processes gridded datasets found on the U.S. Geological Survey
Geo Data Portal web application or elsewhere, using a web-enabled workflow
that eliminates the need to download and store large datasets that are reliably
hosted on the Internet. The package provides access to several data subset and
summarization algorithms that are available on remote web processing servers.

Imports: XML, methods, httr, curl, sp, utils
Suggests: testthat, xtable, knitr, rmarkdown, ggmap, rasterVis,

Imports: XML, methods, httr (>= 1.0.0), curl, sp, utils

person("Lindsay", "Carr", role = c("aut"),

person("David", "Watkins", role = c("aut"),
Suggests: testthat, xtable, knitr, rmarkdown, ggmap, dplyr, rasterVis,