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: | 0.7.0 |
| 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: | 2020-05-16 |
| 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: | http://github.com/imarkonis/csa/issues |
| License: | GPL-2 |
| URL: | http://github.com/imarkonis/csa |
| NeedsCompilation: | no |
| CRAN checks: | csa results |
| Reference manual: | csa.pdf |
| Package source: | csa_0.7.0.tar.gz |
| Windows binaries: | r-devel: csa_0.7.0.zip, r-release: csa_0.7.0.zip, r-oldrel: csa_0.7.0.zip |
| macOS binaries: | r-release: csa_0.7.0.tgz, r-oldrel: csa_0.7.0.tgz |
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