Package: csa
Title: A Cross-Scale Analysis Tool for Model-Observation Visualization
        and Integration
Version: 0.7.1
Authors@R: c(
  person("Yannis", "Markonis", email = "imarkonis@gmail.com", role = c("aut", "cre")),
  person("Christoforos", "Pappas", email = "christoforos.pappas@umontreal.ca", role = c("aut")),
  person("Mijael", "Vargas", email = "vargas_godoy@fzp.czu.cz", role = c("ctb")),
  person("Simon", "Papalexiou", email = "simon@uni.edu", role = c("ctb")),
  person("Martin", "Hanel", email = "hanel@fzp.czu.cz", role = c("ctb"))
  )
Description: Integration of Earth system data from various sources is a challenging task. Except for their qualitative heterogeneity, different data records exist for describing similar Earth system process at different spatio-temporal scales. Data inter-comparison and validation are usually performed at a single spatial or temporal scale, which could hamper the identification of potential discrepancies in other scales. 'csa' package offers a simple, yet efficient, graphical method for synthesizing and comparing observed and modelled data across a range of spatio-temporal scales. Instead of focusing at specific scales, such as annual means or original grid resolution, we examine how their statistical properties change across spatio-temporal continuum.  
Depends: R (>= 3.4.0)
Imports: grDevices, stats, ggplot2, data.table, scales, reshape2,
        moments, Lmoments, foreach, ggpubr, raster, doParallel,
        parallel
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/imarkonis/csa
BugReports: https://github.com/imarkonis/csa/issues
RoxygenNote: 7.2.3
Suggests: testthat (>= 2.1.0), colorspace
NeedsCompilation: no
Packaged: 2023-10-23 15:21:23 UTC; mirovago
Author: Yannis Markonis [aut, cre],
  Christoforos Pappas [aut],
  Mijael Vargas [ctb],
  Simon Papalexiou [ctb],
  Martin Hanel [ctb]
Maintainer: Yannis Markonis <imarkonis@gmail.com>
Repository: CRAN
Date/Publication: 2023-10-24 13:40:11 UTC
Built: R 4.6.0; ; 2026-05-01 03:27:46 UTC; unix
