csa: A Cross-Scale Analysis Tool for Model-Observation Visualization
and 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: |
0.7.0 |
| 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 |
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