csa: A Cross-Scale Analysis Tool for Model-Observation Visualizationand Integration
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 |
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