super-lou / MAKAHO

🥤 MAKAHO (for MAnn-Kendall Analysis of Hydrological Observations) is an interactive cartographic visualization system that allows to calculate trends present in data from hydrometric stations with flows which are little influenced by human actions

MAKAHO

MAKAHO stands for MAnn-Kendall Analysis of Hydrological Observations.

It is a R Shiny website based on EXstat package with CARD code bundle. It provides an interactive cartographic solution to analyze the hydrological stationarity of French surface flows based on the data of the hydrometric stations where the flows are little influenced by the human actions.

Data came from Hydroportail and the selection of stations follows the Reference Network for Low Water Monitoring (Réseau de référence pour la surveillance des étiages, RRSE in french).

A part of the data produced by MAKAHO can be downloaded from Recherche Data Gouv.

This project was carried out for National Research Institute for Agriculture, Food and the Environment (Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, INRAE in french).

Installation

If you want to visit the website hosted by the SK8 project, you can go to this URL: https://makaho.sk8.inrae.fr/.

If you want a local instance, you can download the latest development version using:

git clone https://github.com/super-lou/MAKAHO.git

The input data needed are not hosted on GitHub but can be found on Recherche Data Gouv. This data is in a long format dplyr::tibble with concatenated hydrometric station data gathered from Hydroportail. There is a file named script_create.R that can help you format such a data table using the ASHE package.

The local personalized instance has not been properly tested yet but can be a potential area for future improvement!

Help

You can find an interactive help on the website if you press the bottom right interrogation button.

FAQ

I have a question.

• Solution: Search existing issue list and if no one has a similar question create a new issue.

I found a bug.

• Good Solution: Search existing issue list and if no one has reported it create a new issue.
• Better Solution: Along with issue submission provide a minimal reproducible example of the bug.
• Best Solution: Fix the issue and submit a pull request. This is the fastest way to get a bug fixed.

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.