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

Downloads:

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 (arm64): csa_0.7.0.tgz, r-release (x86_64): csa_0.7.0.tgz, r-oldrel: csa_0.7.0.tgz

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