Merge pull request #275 from FOR-CAST/update-DESCRIPTION

Update + format DESCRIPTION

DESCRIPTION

@@ -3,53 +3,58 @@ Title: Downscaling climate data in R
 Version: 0.1.0.9000
 Date: 23-05-2024
 Authors@R: c(
- person("Kiri","Daust", email = "[email protected]", role = c("aut", "cre")),
- person("Colin", "Mahony", email = "[email protected]", role = c("aut"),
+ person("Kiri", "Daust", , "[email protected]", role = c("aut", "cre")),
+ person("Colin", "Mahony", , "[email protected]", role = "aut",
  comment = c(ORCID = "0000-0002-6111-5675")),
- person("Bruno", "Tremblay", email = "[email protected]", role = c("aut"),
+ person("Bruno", "Tremblay", , "[email protected]", role = "aut",
  comment = c(ORCID = "0000-0002-2945-356X")),
- person("Ceres", "Barros", email = "[email protected]", role = c("aut"),
- comment = c(ORCID = "0000-0003-4036-977X")), 
- person("Francois", "Bornais", email = "[email protected]", role = c("ctb")),
- person(family = "Province of British Columbia", role = c("cph", "fnd")))
-Description: `climr` is an R package that builds on the downscaling concepts 
- operationalized in the ClimateNA tool (climatena.ca) (Wang et al. 2016).
- It provides downscaling of observational and simulated climate data using change-factor 
- downscaling, a simple method that adds low-spatial-resolution 
- climate anomalies to a high-spatial-resolution reference climatological map, with additional 
- elevation adjustment for temperature. Elevation-adjusted monthly values of basic climate 
- elements (temperature and precipitation) are then used to estimate derived variables 
- (e.g., degree-days) based on published equations and parameters from Wang et al. 2016.
- `climr` is designed to be fast and to minimize local data storage requirements. To do so, 
- it uses a remote PostGIS database, and optionally caches data locally.
+ person("Ceres", "Barros", , "[email protected]", role = "aut",
+ comment = c(ORCID = "0000-0003-4036-977X")),
+ person("Francois", "Bornais", , "[email protected]", role = "ctb"),
+ person(, "Province of British Columbia", role = c("cph", "fnd"))
+ )
+Description: Builds on the downscaling concepts operationalized in the
+ 'ClimateNA' tool (<https://climatena.ca>) (Wang et al. 2016
+ <doi:10.1371/journal.pone.0156720>). It provides downscaling of
+ observational and simulated climate data using change-factor
+ downscaling, a simple method that adds low-spatial-resolution climate
+ anomalies to a high-spatial-resolution reference climatological map,
+ with additional elevation adjustment for temperature.
+ Elevation-adjusted monthly values of basic climate elements
+ (temperature and precipitation) are then used to estimate derived
+ variables (e.g., degree-days) based on published equations and
+ parameters from Wang et al. 2016. This package is designed to be fast
+ and to minimize local data storage requirements. To do so, it uses a
+ remote 'PostGIS' database, and optionally caches data locally.
 License: Apache License (== 2)
-Encoding: UTF-8
-Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.3.1
+Depends: 
+ R (>= 4.0)
 Imports: 
  data.table,
  DBI,
+ magrittr,
  methods,
  pool,
  RPostgres,
- terra,
+ scales,
  sf,
  stinepack,
- uuid,
- scales,
- magrittr
+ terra,
+ uuid
 Suggests: 
  ggplot2,
  knitr,
  parallel,
  plotly,
- rmarkdown,
  remotes,
+ rmarkdown,
  testthat (>= 3.0.0),
  utils,
  withr
-Depends: 
- R (>= 4.0)
+VignetteBuilder: 
+ knitr
 Config/testthat/edition: 3
+Encoding: UTF-8
 LazyData: true
-VignetteBuilder: knitr
+Roxygen: list(markdown = TRUE)
+RoxygenNote: 7.3.1