niche_vlaanderen

Python package to run the NICHE Vlaanderen model

https://github.com/inbo/niche_vlaanderen

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.2%) to scientific vocabulary

Keywords

lifewatch oscibio package python vegetation

Keywords from Contributors

water open-science weather data-access parsing biodiversity ecology biodiversity-informatics biodiversity-standards gbif
Last synced: 6 months ago · JSON representation

Repository

Python package to run the NICHE Vlaanderen model

Basic Info
Statistics
  • Stars: 5
  • Watchers: 5
  • Forks: 2
  • Open Issues: 6
  • Releases: 8
Topics
lifewatch oscibio package python vegetation
Created over 8 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog Contributing License Authors

README.rst

################
Niche Vlaanderen
################

.. image:: https://github.com/inbo/niche_vlaanderen/actions/workflows/tests-coverage.yml/badge.svg
    :target: https://github.com/inbo/niche_vlaanderen/actions/workflows/tests-coverage.yml
.. image:: https://coveralls.io/repos/github/inbo/niche_vlaanderen/badge.png?branch=master
    :target: https://coveralls.io/github/inbo/niche_vlaanderen?branch=master
.. image:: https://zenodo.org/badge/102339389.svg
   :target: https://zenodo.org/badge/latestdoi/102339389

(Nederlandstalige versie hieronder / Dutch version below)

NICHE Vlaanderen (*Nature Impact Assessment of Changes in Hydro-Ecological Systems*) is a **hydro-ecological model** that predicts the potential occurrence of (ground)water-dependent vegetation types in an area based on information about the (abiotic) site conditions. NICHE Vlaanderen can be used to evaluate the impact of changes in the water management to groundwater-dependent vegetation.

The model is based on a number of location factors that are important for the vegetation: soil type, hydrology, nutrient availability and acidity.
Based on calculated abiotic properties of the location NICHE Vlaanderen determines whether certain vegetation types can develop. An additional *flooding module* allows the user to test whether the predicted vegetations are compatible with a particular flooding regime.

This project is a redevelopment of an existing ArcGIS plugin in Python, without external non-open source dependencies.

-----

NICHE Vlaanderen (*Nature Impact Assessment of Changes in Hydro-Ecological Systems*) is een **hydro-ecologisch model** dat de potenties voor (grond)waterafhankelijke vegetatietypes in een gebied berekent op basis van informatie over de (abiotische) standplaatscondities. NICHE Vlaanderen kan ingezet worden om de effecten van ingrepen in de waterhuishouding op grondwaterafhankelijke vegetaties te evalueren. 

Het model is gebaseerd op een aantal voor de vegetatie bepalende standplaatsfactoren: bodemtype, hydrologie, voedselrijkdom en zuurgraad. Op grond van de berekende abiotische kenmerken van de standplaats bepaalt NICHE Vlaanderen of bepaalde vegetatietypes zich al dan niet kunnen ontwikkelen. Met een bijkomende *overstromingsmodule* kunnen de potenties verder getoetst worden aan de compatibiliteit met een bepaald overstromingsregime.

Dit project is een herontwikkeling van een bestaande ArcGIS plugin in Python, zonder externe non-open source dependencies.

License - Licentie
===================

This project is licensed under the MIT License, see  `LICENSE `_ for more information.

Dit project maakt gebruik van de MIT Licentie, zie `LICENSE `_ voor meer informatie.

Documentation - Documentatie
=============================

The documentation of this project is available at https://inbo.github.io/niche_vlaanderen/

De documentatie van dit project kan geraadpleegd worden via https://inbo.github.io/niche_vlaanderen/

Owner

  • Name: Research Institute for Nature and Forest (INBO)
  • Login: inbo
  • Kind: organization
  • Location: Belgium

Open source, data and science initiatives of the Research Institute for Nature and Forest (INBO)

GitHub Events

Total
  • Create event: 4
  • Release event: 1
  • Issues event: 6
  • Delete event: 5
  • Issue comment event: 9
  • Push event: 17
  • Pull request review event: 1
  • Pull request event: 9
Last Year
  • Create event: 4
  • Release event: 1
  • Issues event: 6
  • Delete event: 5
  • Issue comment event: 9
  • Push event: 17
  • Pull request review event: 1
  • Pull request event: 9

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 1,058
  • Total Committers: 10
  • Avg Commits per committer: 105.8
  • Development Distribution Score (DDS): 0.233
Past Year
  • Commits: 8
  • Committers: 3
  • Avg Commits per committer: 2.667
  • Development Distribution Score (DDS): 0.25
Top Committers
Name Email Commits
Johan Van de Wauw j****n@g****e 812
cecileherr 3****r@u****m 89
DriesAdriaens 3****s@u****m 75
stijnvanhoey s****y@g****m 28
pyup-bot g****t@p****o 26
Stijn Van Hoey s****n@f****m 16
Johan Van de Wauw j****n@f****m 7
Johan Van de Wauw j****w@g****m 3
Peter Desmet p****k@g****m 1
dependabot[bot] 4****]@u****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 70
  • Total pull requests: 66
  • Average time to close issues: 6 months
  • Average time to close pull requests: 19 days
  • Total issue authors: 6
  • Total pull request authors: 7
  • Average comments per issue: 1.76
  • Average comments per pull request: 0.48
  • Merged pull requests: 57
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 2
  • Pull requests: 10
  • Average time to close issues: 12 days
  • Average time to close pull requests: 14 days
  • Issue authors: 1
  • Pull request authors: 4
  • Average comments per issue: 0.5
  • Average comments per pull request: 1.5
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • johanvdw (37)
  • cecileherr (22)
  • stijnvanhoey (6)
  • DriesAdriaens (2)
  • Wardlorenz (2)
  • peterdesmet (1)
Pull Request Authors
  • johanvdw (41)
  • stijnvanhoey (18)
  • cecileherr (14)
  • geohydrodata (2)
  • dependabot[bot] (2)
  • pyup-bot (2)
  • Sachagobeyn (2)
Top Labels
Issue Labels
enhancement (9) bug (5) question (1) wontfix (1)
Pull Request Labels
documentation (2) dependencies (2) enhancement (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 174 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 21
  • Total maintainers: 2
pypi.org: niche-vlaanderen

NICHE Vlaanderen: hydro-ecological model for valley-ecosystems in Flanders

  • Versions: 21
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 174 Last month
Rankings
Dependent packages count: 7.3%
Stargazers count: 21.6%
Dependent repos count: 22.1%
Average: 22.8%
Forks count: 30.0%
Downloads: 32.9%
Maintainers (2)
Last synced: 6 months ago

Dependencies

.github/workflows/pages.yml actions
  • actions/checkout v2.3.1 composite
  • peaceiris/actions-gh-pages v3 composite
.github/workflows/publish.yml actions
  • actions/checkout v2 composite
  • pypa/gh-action-pypi-publish release/v1 composite
.github/workflows/tests-coverage.yml actions
  • actions/checkout v2 composite
  • actions/checkout v2.3.1 composite
  • actions/setup-python v1 composite
  • conda-incubator/setup-miniconda v2 composite
  • coverallsapp/github-action master composite
dev-requirements.txt pypi
  • matplotlib * development
  • pytest >=4.6 development
  • pytest-cov * development
  • wheel * development
doc-requirements.txt pypi
  • Jinja2 ==3.0.3
  • Pygments ==2.11.2
  • Sphinx ==4.3.2
  • click ==8.0.3
  • ipykernel *
  • jupyter_client *
  • matplotlib *
  • nbsphinx *
  • pandoc ==2.0.1
  • sphinx_rtd_theme ==1.0.0
requirements.txt pypi
  • geopandas *
  • numpy *
  • pandas *
  • pygeos *
  • pyyaml *
  • rasterio *
  • rasterstats >=0.17
  • tqdm *
setup.py pypi