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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

https://github.com/louis-heraut/makaho

Science Score: 39.0%

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    CITATION.cff file
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    Found 4 DOI reference(s) in README
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    Low similarity (13.1%) to scientific vocabulary

Keywords

climate climate-change climate-data data-analysis data-visualization environment hydrology inrae leaflet r shiny shiny-apps stationarity-test statistics
Last synced: 4 months ago · JSON representation

Repository

🥤 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

Basic Info
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  • Stars: 8
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
climate climate-change climate-data data-analysis data-visualization environment hydrology inrae leaflet r shiny shiny-apps stationarity-test statistics
Created over 3 years ago · Last pushed 8 months ago
Metadata Files
Readme License Code of conduct Authors Codemeta

README.md

MAKAHO

Lifecycle: stable Contributor Covenant <!-- badges: end -->

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 (Rseau de rfrence pour la surveillance des tiages, 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 lAgriculture, lAlimentation et lEnvironnement, INRAE in french).

This projet have won the 2024 Open Science Research Data Award in the Creating the Conditions for Reuse category.

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/louis-heraut/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 would like an upgrade / I have a question / Need to reach me
Feel free to open an issue ! Im actively maintaining this project, so Ill do my best to respond quickly.
Im also reachable on my institutional INRAE email for more in-depth discussions.

I found a bug
- Good Solution : Search the existing issue list, and if no one has reported it, create a new issue !
- Better Solution : Along with the issue submission, provide a minimal reproducible code sample.
- Best Solution : Fix the issue and submit a pull request. This is the fastest way to get a bug fixed.

Want to contribute ?
If you don't know where to start, open an issue.

If you want to try by yourself, why not start by also opening an issue to let me know you're working on something ? Then:

  • Fork this repository
  • Clone your fork locally and make changes (or even better, create a new branch for your modifications)
  • Push to your fork and verify everything works as expected
  • Open a Pull Request on GitHub and describe what you did and why
  • Wait for review
  • For future development, keep your fork updated using the GitHub Sync fork functionality or by pulling changes from the original repo (or even via remote upstream if you're comfortable with Git). Otherwise, feel free to delete your fork to keep things tidy !

If were connected through work, why not reach out via email to see if we can collaborate more closely on this repo by adding you as a collaborator !

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.

Owner

  • Name: Louis Héraut
  • Login: louis-heraut
  • Kind: user
  • Location: France
  • Company: @INRAE

J'aime bien l'ordinateur @inrae

CodeMeta (codemeta.json) 

{
  "@context": "https://w3id.org/codemeta/3.0",
  "type": "SoftwareSourceCode",
  "applicationCategory": "Hydrology",
  "author": [
    {
      "id": "https://orcid.org/0009-0006-4372-0923",
      "type": "Person",
      "affiliation": {
        "type": "Organization",
        "name": "RiverLy, INRAE, France"
      },
      "email": "louis.heraut@inrae.fr",
      "familyName": "Heraut",
      "givenName": "Louis"
    },
    {
      "type": "Role",
      "schema:author": "https://orcid.org/0009-0006-4372-0923",
      "roleName": "Maintainer"
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    {
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      "roleName": "Developer"
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      "type": "Person",
      "affiliation": {
        "type": "Organization",
        "name": "RiverLy, INRAE, France"
      },
      "email": "michel.lang@inrae.fr",
      "familyName": "Lang",
      "givenName": "Michel"
    },
    {
      "type": "Role",
      "schema:author": "https://orcid.org/0000-0003-1417-1495",
      "roleName": "Management"
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      "id": "https://orcid.org/0000-0001-8447-5430",
      "type": "Person",
      "affiliation": {
        "type": "Organization",
        "name": "RECOVER, INRAE, France"
      },
      "email": "benjamin.renard@inrae.fr",
      "familyName": "Renard",
      "givenName": "Benjamin"
    },
    {
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      "schema:author": "https://orcid.org/0000-0001-8447-5430",
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      "type": "Person",
      "affiliation": {
        "type": "Organization",
        "name": "RiverLy, INRAE, France"
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      "email": "jean-philippe.vidal@inrae.fr",
      "familyName": "Vidal",
      "givenName": "Jean-Philippe"
    },
    {
      "type": "Role",
      "schema:author": "https://orcid.org/0000-0002-3748-6150",
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      "type": "Person",
      "affiliation": {
        "type": "Organization",
        "name": "RiverLy, INRAE, France"
      },
      "email": "eric.sauquet@inrae.fr",
      "familyName": "Sauquet",
      "givenName": "Eric"
    },
    {
      "type": "Role",
      "schema:author": "https://orcid.org/0000-0001-9539-7730",
      "roleName": "Management"
    },
    {
      "id": "https://orcid.org/0000-0001-8700-7026",
      "type": "Person",
      "affiliation": {
        "type": "Organization",
        "name": "CNR-ISAC, Bologne, Italie"
      },
      "email": "i.giuntoli@isac.cnr.it",
      "familyName": "Giuntoli",
      "givenName": "Ignazio "
    },
    {
      "type": "Role",
      "schema:author": "https://orcid.org/0000-0001-8700-7026",
      "roleName": "Management"
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    {
      "id": "_:author_7",
      "type": "Person",
      "affiliation": {
        "type": "Organization",
        "name": "EDSB, Universit Louis Pasteur, Brianon, France"
      },
      "email": "antoine.bard@edsb.fr",
      "familyName": "Bard",
      "givenName": "Antoine"
    },
    {
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      "schema:author": "_:author_7",
      "roleName": "Management"
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  ],
  "codeRepository": "https://github.com/super-lou/MAKAHO",
  "dateCreated": "2022-03-01",
  "dateModified": "2022-07-01",
  "datePublished": "2022-07-01",
  "description": "MAKAHO https://makaho.sk8.inrae.fr (pour MAnn-Kendall Analysis of Hydrological Observations) est un systme de visualisation cartographique interactif permettant de calculer les tendances prsentes dans les donnes des stations hydromtriques aux dbits peu influencs par les actions humaines. Le test de Mann-Kendall permet danalyser la significativit des tendances de variables hydrologiques sur les diffrentes composantes du rgime des cours d'eau (tiages, moyennes-eaux, crues),  mettre ensuite en relation avec les impacts du changement climatique sur lhydrologie de surface.\n\nMAKAHO https://makaho.sk8.inrae.fr (for MAnn-Kendall Analysis of Hydrological Observations) is an interactive cartographic visualization system designed to calculate trends present in data from streamflow gauging stations with minimal human influence. The Mann-Kendall test is used to analyze the significance of trends in hydrological variables across different components of streamflow regimes (low flows, mean flows, high flows), which are then related to the impacts of climate change on surface hydrology.",
  "funder": {
    "type": "Organization",
    "name": "Ministry of Ecological Transition France, INRAE"
  },
  "keywords": [
    "Mann-Kendall trend test",
    "Sen-Theil estimator",
    "data visualisation",
    "data analyse",
    "climate change",
    "climate change adaptation",
    "climate change mitigation"
  ],
  "license": "https://spdx.org/licenses/AGPL-3.0-or-later",
  "name": "MAKAHO",
  "operatingSystem": "Debian 10.x",
  "programmingLanguage": "R 4.x.x",
  "softwareRequirements": [
    "https://github.com/super-lou/EXstat",
    "https://github.com/super-lou/CARD"
  ],
  "version": "1.0.0",
  "developmentStatus": "inactive"
}

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