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geovista-slam

Generating Structured Local Area Model (SLAM) grids from unstructured meshes

https://github.com/bjlittle/geovista-slam

Science Score: 67.0%

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

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 3 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.7%) to scientific vocabulary

Keywords

cartography curvilinear earth-science grid iris mesh python pyvista rectilinear ugrid unstructured vtk

Keywords from Contributors

optim data-profilers interactive datacleaner pipeline-testing exoplanet energy-system yolov5 regionalization hydrology
Last synced: 6 months ago · JSON representation ·

Repository

Generating Structured Local Area Model (SLAM) grids from unstructured meshes

Basic Info
  • Host: GitHub
  • Owner: bjlittle
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 1.75 MB
Statistics
  • Stars: 6
  • Watchers: 3
  • Forks: 0
  • Open Issues: 7
  • Releases: 5
Topics
cartography curvilinear earth-science grid iris mesh python pyvista rectilinear ugrid unstructured vtk
Created over 3 years ago · Last pushed 6 months ago
Metadata Files
Readme License Code of conduct Citation

README.md

geovista-slam

GeoVista utility to convert CF UGRID Local Area Model quad-cell meshes into structured rectilinear or curvilinear grids.

| | | |--------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | ⚙️ CI | ci-citation ci-locks ci-manifest ci-wheels pre-commit.ci status | | 💬 Community | Contributor Covenant GH Discussions | | ✨ Meta | Pixi Badge Ruff license - bds-3-clause conda platform | | 📦 Package | DOI conda-forge pypi pypi - python version | | 🧰 Repo | commits-since contributors release | | | |

Installation

geovista-slam is available on conda-forge and PyPI.

We recommend using mamba to install geovista-slam 👍

conda

geovista-slam is available on conda-forge, and can be easily installed with conda: shell conda install -c conda-forge geovista-slam or alternatively with mamba: shell mamba install -c conda-forge geovista-slam For more information see our conda-forge feedstock.

pip

geovista-slam is also available on PyPI:

shell pip install geovista-slam

However, complications may arise due to the cartopy package dependencies.

License

geovista-slam is distributed under the terms of the BSD-3-Clause license.

#ShowYourStripes

#showyourstripes Global 1850-2021

Graphics and Lead Scientist: Ed Hawkins, National Centre for Atmospheric Science, University of Reading.

Data: Berkeley Earth, NOAA, UK Met Office, MeteoSwiss, DWD, SMHI, UoR, Meteo France & ZAMG.

#ShowYourStripes is distributed under a Creative Commons Attribution 4.0 International License creative-commons-by

Owner

  • Name: Bill Little
  • Login: bjlittle
  • Kind: user
  • Location: Exeter, Devon, England
  • Company: Met Office

Soft, fluffy and machine washable.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Little"
  given-names: "Bill"
  orcid: "https://orcid.org/0000-0002-1345-9465"
title: "geovista-slam"
abstract: "Structured Local Area Model"
repository-code: "https://github.com/bjlittle/geovista-slam"
license: "BSD-3-Clause"
license-url: "https://spdx.org/licenses/BSD-3-Clause.html"
doi: "10.5281/zenodo.7837322"
type: "software"

GitHub Events

Total
  • Issues event: 7
  • Watch event: 1
  • Delete event: 125
  • Issue comment event: 2
  • Push event: 193
  • Pull request review event: 13
  • Pull request event: 271
  • Create event: 124
Last Year
  • Issues event: 7
  • Watch event: 1
  • Delete event: 125
  • Issue comment event: 2
  • Push event: 193
  • Pull request review event: 13
  • Pull request event: 271
  • Create event: 124

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 191
  • Total Committers: 4
  • Avg Commits per committer: 47.75
  • Development Distribution Score (DDS): 0.476
Past Year
  • Commits: 182
  • Committers: 4
  • Avg Commits per committer: 45.5
  • Development Distribution Score (DDS): 0.495
Top Committers
Name Email Commits
Bill Little b****e@g****m 100
geovista-ci[bot] 1****] 47
pre-commit-ci[bot] 6****] 38
dependabot[bot] 4****] 6

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 8
  • Total pull requests: 548
  • Average time to close issues: about 1 month
  • Average time to close pull requests: about 11 hours
  • Total issue authors: 1
  • Total pull request authors: 5
  • Average comments per issue: 0.5
  • Average comments per pull request: 0.01
  • Merged pull requests: 492
  • Bot issues: 0
  • Bot pull requests: 433
Past Year
  • Issues: 7
  • Pull requests: 282
  • Average time to close issues: about 1 month
  • Average time to close pull requests: about 5 hours
  • Issue authors: 1
  • Pull request authors: 5
  • Average comments per issue: 0.29
  • Average comments per pull request: 0.01
  • Merged pull requests: 246
  • Bot issues: 0
  • Bot pull requests: 219
View more stats
Top Authors
Issue Authors
  • bjlittle (8)
  • geovista-ci[bot] (1)
  • dependabot[bot] (1)
Pull Request Authors
  • geovista-ci[bot] (175)
  • pre-commit-ci[bot] (171)
  • bjlittle (115)
  • github-actions[bot] (80)
  • dependabot[bot] (51)
Top Labels
Issue Labels
new: issue (5) new: feature (2) bot (2) new: pull request (2) new: documentation (1) type: documentation (1)
Pull Request Labels
bot (302) new: pull request (302) pixi (78) type: infrastructure (1) type: tech debt (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 35 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 5
pypi.org: geovista-slam

Structured Local Area Model

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 35 Last month
Rankings
Dependent packages count: 7.1%
Average: 19.2%
Dependent repos count: 31.3%
Maintainers (5)
Bill.Little ppmo martin.yeo stephen.worsley HGWright
Last synced: 6 months ago

Dependencies

.github/workflows/ci-citation.yml actions
  • actions/checkout v4 composite
  • citation-file-format/cffconvert-github-action 2.0.0 composite
.github/workflows/ci-locks.yml actions
  • actions/checkout v4 composite
  • actions/download-artifact v3 composite
  • actions/upload-artifact v3 composite
  • conda-incubator/setup-miniconda v2 composite
  • peter-evans/create-pull-request 153407881ec5c347639a548ade7d8ad1d6740e38 composite
  • tibdex/github-app-token v2 composite
.github/workflows/ci-manifest.yml actions
  • actions/checkout v4 composite
.github/workflows/ci-wheels.yml actions
  • actions/checkout v4 composite
  • actions/download-artifact v3 composite
  • actions/upload-artifact v3 composite
  • conda-incubator/setup-miniconda v2 composite
  • pypa/gh-action-pypi-publish release/v1 composite
pyproject.toml pypi
  • geovista >=0.2
  • scitools-iris >=3.2
setup.py pypi