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csa
View on CRAN: Click
here
Download and install csa package within the R console
Install from CRAN:
install.packages("csa")
Install from Github:
library("remotes")
install_github("cran/csa") Install by package version:
library("remotes")
install_version("csa", "0.7.1") Attach the package and use:
library("csa")
Maintained by
Yannis Markonis
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-16
Latest Update: 2023-10-24
Description:
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.
How to cite:
Yannis Markonis (2020). csa: A Cross-Scale Analysis Tool for Model-Observation Visualization and Integration. R package version 0.7.1, https://cran.r-project.org/web/packages/csa. Accessed 11 Mar. 2026.
Previous versions and publish date:
0.7.0 (2020-05-16 11:50)
Other packages that cited csa R package
View csa citation profile
Other R packages that csa depends,
imports, suggests or enhances
Complete documentation for csa
Functions, R codes and Examples using
the csa R package
Some associated functions: cnrm_nl . csa.multiplot . csa . csa.plot . csas . dt.to.brick . gpm_events . gpm_nl . knmi_nl . ncep_nl . rdr_nl .
Some associated R codes: aux_fun.R . csa.R . data.R . globals.R . graphics.R . Full csa package functions and examples
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