Package: airGRteaching 0.3.3
Olivier Delaigue
airGRteaching: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Authors:
airGRteaching_0.3.3.tar.gz
airGRteaching_0.3.3.tar.gz(r-4.5-noble)airGRteaching_0.3.3.tar.gz(r-4.4-noble)
airGRteaching_0.3.3.tgz(r-4.4-emscripten)airGRteaching_0.3.3.tgz(r-4.3-emscripten)
airGRteaching.pdf |airGRteaching.html✨
airGRteaching/json (API)
NEWS
| # Install 'airGRteaching' in R: |
| install.packages('airGRteaching', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hydrogr/airgrteaching/issues
Last updated 4 months agofrom:322837c8bc. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-linux | OK | Nov 21 2024 |
Exports:CalGRdyplotGetCritGetParamPrepGRShinyGRSimGR
Dependencies:airGRbase64encbslibcachemclicommonmarkcrayondigestdygraphsevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetshttpuvjquerylibjsonliteknitrlaterlatticelifecyclemagrittrmarkdownmemoisemimeplotrixpromisesR6rappdirsRcpprlangrmarkdownsassshinyshinyjssourcetoolstinytexwithrxfunxtablextsyamlzoo
Teaching hydrology with airGRteaching
Rendered fromv00_teaching_hydrology.rmdusingknitr::rmarkdownon Nov 21 2024.Last update: 2024-07-24
Started: 2022-12-15
Reconstitution de débits
Rendered fromv01_FR_flow_reconstruction.rmdusingknitr::rmarkdownon Nov 21 2024.Last update: 2024-07-24
Started: 2022-12-15
Streamflow reconstruction
Rendered fromv01_EN_flow_reconstruction.rmdusingknitr::rmarkdownon Nov 21 2024.Last update: 2024-07-24
Started: 2022-12-15
Low-flow forecasting
Rendered fromv02_EN_flow_forecasting.rmdusingknitr::rmarkdownon Nov 21 2024.Last update: 2024-07-24
Started: 2022-12-15
Prévision de bas débits
Rendered fromv02_FR_flow_forecasting.rmdusingknitr::rmarkdownon Nov 21 2024.Last update: 2024-07-24
Started: 2022-12-15
Impact du changement climatique sur le régime des débits
Rendered fromv03_FR_impact_CC_flow.rmdusingknitr::rmarkdownon Nov 21 2024.Last update: 2024-07-24
Started: 2022-12-15
Impact of climate change on streamflow regime
Rendered fromv03_EN_impact_CC_flow.rmdusingknitr::rmarkdownon Nov 21 2024.Last update: 2024-07-24
Started: 2022-12-15
Get Started with airGRteaching
Rendered fromget_started.rmdusingknitr::rmarkdownon Nov 21 2024.Last update: 2023-07-13
Started: 2018-03-21
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included) | airGRteaching-package airGRteaching |
| Function to coerce the outputs of PrepGR, CalGR and SimGR to a data.frame | as.data.frame as.data.frame.CalGR as.data.frame.PrepGR as.data.frame.SimGR |
| Calibration algorithm that optimises the error criterion selected as objective function | CalGR |
| Interactive plots for time series of PrepGR, CalGR and SimGR objects | dyplot dyplot.CalGR dyplot.PrepGR dyplot.SimGR |
| Get model configuration | GetCrit GetCrit.CalGR GetCrit.SimGR GetModelConfig GetParam GetParam.CalGR GetParam.SimGR |
| Static plots for time series of PrepGR, CalGR and SimGR objects | plot plot.CalGR plot.PrepGR plot.SimGR |
| Creation of the inputs required to run the CalGR and SimGR functions | PrepGR |
| Interactive Web application to run manually the GR2M, GR4J, GR5J and GR6J hydrological models with or without CemaNeige | ShinyGR |
| Running one of the GR hydrological models | SimGR |