Package: RmarineHeatWaves 0.17.1

RmarineHeatWaves: Detect Marine Heat Waves and Marine Cold Spells

Given a time series of daily temperatures, the package provides tools to detect extreme thermal events, including marine heat waves, and to calculate the exceedances above or below specified threshold values. It outputs the properties of all detected events and exceedances.

Authors:Albertus J. Smit [aut, cre], Eric C. J. Oliver [aut], Robert W. Schlegel [ctb]

RmarineHeatWaves_0.17.1.tar.gz
RmarineHeatWaves_0.17.1.zip(r-4.5)RmarineHeatWaves_0.17.1.zip(r-4.4)RmarineHeatWaves_0.17.1.zip(r-4.3)
RmarineHeatWaves_0.17.1.tgz(r-4.5-any)RmarineHeatWaves_0.17.1.tgz(r-4.4-any)RmarineHeatWaves_0.17.1.tgz(r-4.3-any)
RmarineHeatWaves_0.17.1.tar.gz(r-4.5-noble)RmarineHeatWaves_0.17.1.tar.gz(r-4.4-noble)
RmarineHeatWaves_0.17.1.tgz(r-4.4-emscripten)RmarineHeatWaves_0.17.1.tgz(r-4.3-emscripten)
RmarineHeatWaves.pdf |RmarineHeatWaves.html
RmarineHeatWaves/json (API)
NEWS

# Install 'RmarineHeatWaves' in R:
install.packages('RmarineHeatWaves', repos = c('https://ajsmit.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ajsmit/rmarineheatwaves/issues

Datasets:
  • sst_Med - Optimally Interpolated 0.25 degree SST for the Mediterranean region.
  • sst_NW_Atl - Optimally Interpolated 0.25 degree SST for the NW Atlantic region.
  • sst_WA - Optimally Interpolated 0.25 degree SST for the Western Australian region.

On CRAN:

Conda:

4.88 score 9 stars 17 scripts 273 downloads 8 exports 45 dependencies

Last updated 6 years agofrom:bc69f3ae75. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
R-4.5-winNOTEMar 20 2025
R-4.5-macNOTEMar 20 2025
R-4.5-linuxNOTEMar 20 2025
R-4.4-winOKMar 20 2025
R-4.4-macOKMar 20 2025
R-4.4-linuxOKMar 20 2025
R-4.3-winOKMar 20 2025
R-4.3-macOKMar 20 2025

Exports:block_averagedetectevent_lineexceedancegeom_flamegeom_lollilolli_plotmake_whole

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelazyevallifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpurrrR6rasterRColorBrewerRcpprlangscalesspstringistringrterratibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithrzoo

Extreme event detection in gridded data

Rendered fromgridded-event-detection.Rmdusingknitr::rmarkdownon Mar 20 2025.

Last update: 2017-06-19
Started: 2016-10-15