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 
[aut, cre],
Niamh Cahill
[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-devel: geslaR_1.0-1.zip, r-release: geslaR_1.0-1.zip, r-oldrel: geslaR_1.0-1.zip |
| macOS binaries: | r-release (arm64): geslaR_1.0-1.tgz, r-oldrel (arm64): geslaR_1.0-1.tgz, r-release (x86_64): geslaR_1.0-1.tgz, r-oldrel (x86_64): geslaR_1.0-1.tgz |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=geslaR to link to this page.