ggplot2, forcats, leaflet, knitr, sf, tigris, testthat (>=
2.1.0), rmarkdown, data.table, formattable, geofacet,
lubridate, scales, viridis

ggplot2, forcats, leaflet, knitr, sf, tigris, testthat (>=
2.1.0), rmarkdown, data.table, formattable, geofacet,
lubridate, scales, viridis, zoo
stringr, magrittr, jsonlite, dplyr, tidyr, urltools, httr,
curl, vroom

c(person(given = "Paul",
family = "Frater",
role = c("aut", "cre"),
email = "paul.frater@wisconsin.gov",
comment = c(ORCID = "0000-0002-7237-6563")),
person("Zac", "Driscoll",
email = "zdriscoll@mmsd.com",
role = c("aut"),
comment = c(ORCID = "0000-0002-8233-0980")))
Functions to efficiently query 'ArcGIS REST' APIs
<https://developers.arcgis.com/rest/>.
Both spatial and SQL queries can be used to retrieve data.
Simple Feature (sf) objects are utilized to perform spatial queries.
This package was neither produced nor is maintained by Esri.

c(person(given = "Paul",
family = "Frater",
role = c("aut", "cre"),
email = "paul.frater@wisconsin.gov",
comment = c(ORCID = "0000-0002-7237-6563")),
person("Zac", "Driscoll",
email = "zdriscoll@mmsd.com",
role = c("aut", "ctb"),
comment = c(ORCID = "0000-0002-8233-0980")))
Functions to efficiently query ArcGIS REST APIs
<https://developers.arcgis.com/rest/>.
Both spatial and SQL queries can be used to retrieve data.
Simple Feature (sf) objects are utilized to perform spatial queries.
This package was neither produced nor is maintained by Esri.

Processing and Physical Activity Summaries of Minute Level
Activity Data
c(
person("Marta", "Karas", email = "marta.karass@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-5889-3970")),
person("Jacek", "Urbanek", role = c("aut"),
comment = c(ORCID = "0000-0002-1890-8899")),
person("Jennifer", "Schrack", role = c("aut"),
comment = c(ORCID = "0000-0001-9244-9267"))
)
Provides functions to process minute level actigraphy-measured activity counts data and extract commonly used physical activity volume and fragmentation metrics.
testthat, data.table, dplyr, knitr, rmarkdown, ggplot2, covr