geslaR: Get and Manipulate the GESLA Dataset

Promote access to the GESLA <https://gesla787883612.wordpress.com> (Global Extreme Sea Level Analysis) dataset, a higher-frequency sea-level record data from all over the world. It provides functions to download it entirely, or query subsets directly into R, without the need of downloading the full dataset. Also, it provides a built-in web-application, so that users can apply basic filters to select the data of interest, generating informative plots, and showing the selected sites.

Version: 1.0-1
Depends: arrow, dplyr, R (≥ 3.5.0)
Imports: cli
Suggests: bslib, DT, knitr, leaflet, leafpop, lubridate, patchwork, plotly, rmarkdown, shiny, shinyalert, shinycssloaders, shinyWidgets, testthat (≥ 3.0.0), tidyverse
Published: 2023-10-09
Author: Fernando Mayer ORCID iD [aut, cre], Niamh Cahill ORCID iD [aut]
Maintainer: Fernando Mayer <fernando.mayer at mu.ie>
BugReports: https://github.com/EireExtremes/geslaR/issues
License: GPL (≥ 3)
URL: https://github.com/EireExtremes/geslaR, https://eireextremes.github.io/geslaR/
NeedsCompilation: no
SystemRequirements: arrow
Materials: README NEWS
CRAN checks: geslaR results

Documentation:

Reference manual: geslaR.pdf
Vignettes: Introduction to Apache Arrow framework
Dealing with the GESLA dataset in R

Downloads:

Package source: geslaR_1.0-1.tar.gz
Windows binaries: r-prerel: geslaR_1.0-1.zip, r-release: geslaR_1.0-1.zip, r-oldrel: geslaR_1.0-1.zip
macOS binaries: r-prerel (arm64): geslaR_1.0-1.tgz, r-release (arm64): geslaR_1.0-1.tgz, r-oldrel (arm64): geslaR_1.0-1.tgz, r-prerel (x86_64): geslaR_1.0-1.tgz, r-release (x86_64): geslaR_1.0-1.tgz

Linking:

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