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clim4health  

Post-Processing of Climate Data for Health Applications
View on CRAN: Click here


Download and install clim4health package within the R console
Install from CRAN:
install.packages("clim4health")

Install from Github:
library("remotes")
install_github("cran/clim4health")

Install by package version:
library("remotes")
install_version("clim4health", "0.1.0")



Attach the package and use:
library("clim4health")
Maintained by
Carles Milà
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-30
Latest Update: 2026-06-30
Description:
Obtain, transform and export climate data including reanalyses, (seasonal) forecasts and hindcasts, and weather stations for their use in epidemiological analyses. It is organised in three sequential blocks, input (download and load data), transform (downscaling, verification, spatiotemporal aggregation and threshold-based indicators) and output (visualising and exporting data). Downscaling methods include those described in Duzenli et al. (2026) <doi:10.1038/s41598-026-45067-2> and verification methods are based on those in Manubens et al. (2018) <doi:10.1016/j.envsoft.2018.01.018>.
How to cite:
Carles Milà (2026). clim4health: Post-Processing of Climate Data for Health Applications. R package version 0.1.0, https://cran.r-project.org/web/packages/clim4health. Accessed 14 Jul. 2026.
Previous versions and publish date:
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Complete documentation for clim4health
Functions, R codes and Examples using the clim4health R package
Full clim4health package functions and examples
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