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.
Version: 0.7.1 Depends: R (≥ 3.4.0) Imports: grDevices, stats, ggplot2, data.table, scales, reshape2, moments, Lmoments, foreach, ggpubr, raster, doParallel, parallel Suggests: testthat (≥ 2.1.0), colorspace Published: 2023-10-24 DOI: 10.32614/CRAN.package.csa Author: Yannis Markonis [aut, cre], Christoforos Pappas [aut], Mijael Vargas [ctb], Simon Papalexiou [ctb], Martin Hanel [ctb] Maintainer: Yannis Markonis <imarkonis at gmail.com> BugReports: https://github.com/imarkonis/csa/issues License: GPL-2 URL: https://github.com/imarkonis/csa NeedsCompilation: no CRAN checks: csa results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=csa to link to this page.
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