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-4.4-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:

4.88 score 9 stars 17 scripts 256 downloads 8 exports 45 dependencies

Last updated 6 years agofrom:bc69f3ae75. Checks:OK: 5 NOTE: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 20 2024
R-4.5-win	NOTE	Nov 20 2024
R-4.5-linux	NOTE	Nov 20 2024
R-4.4-win	OK	Nov 20 2024
R-4.4-mac	OK	Nov 20 2024
R-4.3-win	OK	Nov 20 2024
R-4.3-mac	OK	Nov 20 2024

Exports:block_average detect event_line exceedance geom_flame geom_lolli lolli_plot make_whole

Dependencies:cli colorspace cpp11 dplyr fansi farver generics ggplot2 glue gtable isoband labeling lattice lazyeval lifecycle lubridate magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig plyr purrr R6 raster RColorBrewer Rcpp rlang scales sp stringi stringr terra tibble tidyr tidyselect timechange utf8 vctrs viridisLite withr zoo

Extreme event detection in gridded data

AJ Smit

Rendered fromgridded-event-detection.Rmdusingknitr::rmarkdownon Nov 20 2024.

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculate Yearly Means for Event Metrics.	block_average
Detect heatwaves and cold-spells.	detect
Create a Line Plot of Marine Heat Waves or Cold Spells.	event_line
Detect consecutive days in exceedance of a given threshold.	exceedance
Create 'Flame' Ploygons.	geom_flame
Visualise a Timeline of Several Event Metrics as 'Lollipops'.	geom_lolli
Create a Timeline of Selected Event Metrics.	lolli_plot
Constructs a Continuous, Uninterrupted Time Series of Temperatures.	make_whole
RmarineHeatWaves.	RmarineHeatWaves-package RmarineHeatWaves
Optimally Interpolated 0.25 degree SST for the Mediterranean region.	sst_Med
Optimally Interpolated 0.25 degree SST for the NW Atlantic region.	sst_NW_Atl
Optimally Interpolated 0.25 degree SST for the Western Australian region.	sst_WA