Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/bjlittle/geovista-slam
Generating Structured Local Area Model (SLAM) grids from unstructured meshes
https://github.com/bjlittle/geovista-slam
cartography curvilinear earth-science grid iris mesh python pyvista rectilinear ugrid unstructured vtk
Last synced: 2 months ago
JSON representation
Generating Structured Local Area Model (SLAM) grids from unstructured meshes
- Host: GitHub
- URL: https://github.com/bjlittle/geovista-slam
- Owner: bjlittle
- License: bsd-3-clause
- Created: 2022-08-05T14:23:31.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-11T09:40:51.000Z (6 months ago)
- Last Synced: 2024-06-11T16:24:08.742Z (6 months ago)
- Topics: cartography, curvilinear, earth-science, grid, iris, mesh, python, pyvista, rectilinear, ugrid, unstructured, vtk
- Language: Python
- Homepage:
- Size: 283 KB
- Stars: 5
- Watchers: 3
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
Awesome Lists containing this project
README
# geovista-slam
[GeoVista](https://github.com/bjlittle/geovista) utility to convert [CF UGRID](https://ugrid-conventions.github.io/ugrid-conventions/) Local Area Model quad-cell meshes
into structured rectilinear or curvilinear grids.
| | |
|--------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| ⚙️ CI | [](https://github.com/bjlittle/geovista-slam/actions/workflows/ci-citation.yml) [](https://github.com/bjlittle/geovista-slam/actions/workflows/ci-locks.yml) [](https://github.com/bjlittle/geovista-slam/actions/workflows/ci-manifest.yml) [](https://github.com/bjlittle/geovista-slam/actions/workflows/ci-wheels.yml) [](https://results.pre-commit.ci/latest/github/bjlittle/geovista-slam/main) |
| 💬 Community | [](https://github.com/bjlittle/geovista-slam/blob/main/CODE_OF_CONDUCT.md) [](https://github.com/bjlittle/geovista-slam/discussions) |
| ✨ Meta | [](https://github.com/astral-sh/ruff) [](https://github.com/bjlittle/geovista-slam/blob/main/LICENSE) [](https://anaconda.org/conda-forge/geovista-slam) |
| 📦 Package | [](https://doi.org/10.5281/zenodo.7837322) [](https://anaconda.org/conda-forge/geovista-slam) [](https://pypi.org/project/geovista-slam/) [](https://pypi.org/project/geovista-slam/) |
| 🧰 Repo | [](https://github.com/bjlittle/geovista-slam/commits/main) [](https://github.com/bjlittle/geovista-slam/graphs/contributors) [](https://github.com/bjlittle/geovista-slam/releases) |
| | |
## Installation
`geovista-slam` is available on [conda-forge](https://anaconda.org/conda-forge/geovista-slam) and [PyPI](https://pypi.org/project/geovista-slam/).
We recommend using [mamba](https://github.com/mamba-org/mamba) to install `geovista-slam` 👍
### conda
`geovista-slam` is available on [conda-forge](https://anaconda.org/conda-forge/geovista-slam), and can be easily installed with [conda](https://docs.conda.io/projects/conda/en/latest/index.html):
```shell
conda install -c conda-forge geovista-slam
```
or alternatively with [mamba](https://github.com/mamba-org/mamba):
```shell
mamba install -c conda-forge geovista-slam
```
For more information see our [conda-forge feedstock](https://github.com/conda-forge/geovista-slam-feedstock).
### pip
`geovista-slam` is also available on [PyPI](https://pypi.org/project/geovista/):
```shell
pip install geovista-slam
```
However, complications may arise due to the [cartopy](https://pypi.org/project/cartopy/) package dependencies.
## License
`geovista-slam` is distributed under the terms of the [BSD-3-Clause](https://spdx.org/licenses/BSD-3-Clause.html) license.
## [#ShowYourStripes](https://showyourstripes.info/s/globe)
**Graphics and Lead Scientist**: [Ed Hawkins](http://www.met.reading.ac.uk/~ed/home/index.php), 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
