DESCRIPTION

Package: quadkeyr
Title: Tools for converting QuadKey-identified datasets (Microsoft's Bing Maps Tile System) into raster images and analyzing Meta (Facebook) Mobility Data.
Version: 0.1.0
Authors@R: 
    c(person(given = "Florencia",
           family = "D'Andrea", 
           email = "florencia.dandrea@gmail.com", 
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0041-097X")),
    person(given = "Pilar",
           family = "Fernandez", 
           email = "pilar.fernandez@wsu.edu", 
           role = c("aut"),
           comment = c(ORCID = "0000-0001-8645-2267")),
    person(given = "Maria Paula",
           family = "Caldas",
           role = c("rev"),
           comment = c(
           ORCID = "0000-0002-1938-6471",
           "Maria Paula Caldas reviewed the package (v. 0.0.0.9000) for rOpenSci, see https://github.com/ropensci/software-review/issues/619")),
    person(given = "Vincent",
           family = "van Hees",
           role = c("rev"),
           comment = c(
           ORCID = "0000-0003-0182-9008",
           "Vincent van Hees reviewed the package (v. 0.0.0.9000) for rOpenSci, see https://github.com/ropensci/software-review/issues/619")),
    person("CDC's Center for Forecasting and Outbreak Analytics",
            comment = c("This project was made possible by cooperative agreement CDC-RFA-FT-23-0069 (grant # NU38FT000009-01-00) from the CDC's Center for Forecasting and Outbreak Analytics. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Centers for Disease Control and Prevention."),  role = c("fnd")),
    person("MIDAS-NIH COVID-19 urgent grant program", role = c("fnd")),
    person("Paul G. Allen School for Global Health, Washington State University", role = c("cph")))
Description: 'Quadkeyr' functions generate raster images based on QuadKey-identified data, facilitating efficient integration of Tile Maps data into R workflows. In particular, 'Quadkeyr' provides support to process and analyze Facebook mobility datasets within the R environment.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/quadkeyr/, https://github.com/ropensci/quadkeyr
BugReports: https://github.com/ropensci/quadkeyr/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Suggests: 
    bslib (>= 0.6.1),
    DT (>= 0.31),
    ggplot2 (>= 3.4.4),
    knitr,
    leaflet (>= 2.2.1),
    rmarkdown,
    rnaturalearth (>= 1.0.0),
    shinytest2,
    testthat (>= 3.1.10),
    tidyr (>= 1.3.0),
    viridis (>= 0.6.4),
    withr
VignetteBuilder: knitr
Depends: 
    R (>= 4.0)
LazyData: true
Imports: 
    dplyr (>= 1.1.2),
    lubridate (>= 1.9.2),
    purrr (>= 1.0.1),
    readr (>= 2.1.4),
    rlang (>= 1.1.2),
    sf (>= 1.0.14),
    shiny (>= 1.7.4),
    stars (>= 0.6.2)