Package: IETD 1.0.0
IETD: Inter-Event Time Definition
Computes characteristics of independent rainfall events (duration, total rainfall depth, and intensity) extracted from a sub-daily rainfall time series based on the inter-event time definition (IETD) method. To have a reference value of IETD, it also analyzes/computes IETD values through three methods: autocorrelation analysis, the average annual number of events analysis, and coefficient of variation analysis. Ideal for analyzing the sensitivity of IETD to characteristics of independent rainfall events. Adams B, Papa F (2000) <ISBN: 978-0-471-33217-6>. Joo J et al. (2014) <doi:10.3390/w6010045>. Restrepo-Posada P, Eagleson P (1982) <doi:10.1016/0022-1694(82)90136-6>.
Authors:
IETD_1.0.0.tar.gz
IETD_1.0.0.zip(r-4.5)IETD_1.0.0.zip(r-4.4)IETD_1.0.0.zip(r-4.3)
IETD_1.0.0.tgz(r-4.4-any)IETD_1.0.0.tgz(r-4.3-any)
IETD_1.0.0.tar.gz(r-4.5-noble)IETD_1.0.0.tar.gz(r-4.4-noble)
IETD_1.0.0.tgz(r-4.4-emscripten)IETD_1.0.0.tgz(r-4.3-emscripten)
IETD.pdf |IETD.html✨
IETD/json (API)
# Install 'IETD' in R: |
install.packages('IETD', repos = c('https://lfduquey.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lfduquey/ietd/issues
- five_minute_time_series - 5-min rainfall time series
- hourly_time_series - Hourly rainfall time series
Last updated 5 years agofrom:038c8598c2. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-win | NOTE | Oct 26 2024 |
R-4.5-linux | NOTE | Oct 26 2024 |
R-4.4-win | NOTE | Oct 26 2024 |
R-4.4-mac | NOTE | Oct 26 2024 |
R-4.3-win | NOTE | Oct 26 2024 |
R-4.3-mac | NOTE | Oct 26 2024 |
Dependencies:clicodetoolscolorspacecpp11doParalleldplyrfansifarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6rbibutilsRColorBrewerRdpackrlangscalestibbletidyselecttimechangeutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Average annual number of events analysis | AAEA |
Autocorrelation analysis | AutoA |
Coefficient of variation analysis | CVA |
Extraction of independent rainfall events from a sub-daily time series | drawre |
5-min rainfall time series | five_minute_time_series |
Hourly rainfall time series | hourly_time_series |