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DESCRIPTION
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DESCRIPTION
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Package: climr
Title: Downscaling climate data in R
Version: 0.1.1
Date: 19-08-2024
Authors@R: c(
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 protected]", role = "aut",
comment = c(ORCID = "0000-0002-2945-356X")),
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)
Depends:
R (>= 4.0)
Imports:
data.table,
DBI,
magrittr,
methods,
pool,
RPostgres,
scales,
sf,
stinepack,
terra,
uuid,
dplyr,
abind,
dbplyr
Suggests:
ggplot2,
knitr,
parallel,
plotly,
remotes,
rmarkdown,
testthat (>= 3.0.0),
utils,
withr
VignetteBuilder:
knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1