A Cross-Scale Analysis Tool for Model-Observation Visualization and Integration R package csa version 0.7.1 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. Software 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 Yannis Markonis <imarkonis@gmail.com> Comprehensive R Archive Network (CRAN) Yannis Markonis [aut, cre], Christoforos Pappas [aut], Mijael Vargas [ctb], Simon Papalexiou [ctb], Martin Hanel [ctb] GPL-2 2023-10-24 application/tgz https://CRAN.R-project.org/package=csa doi:10.32614/CRAN.package.csa