# GeoUtils: consistent geospatial analysis in Python.
[](https://github.com/GlacioHack/GeoUtils/actions/workflows/python-tests.yml)
[](https://anaconda.org/conda-forge/geoutils)
[](https://anaconda.org/conda-forge/geoutils)
[](https://anaconda.org/conda-forge/geoutils)
[](https://badge.fury.io/py/geoutils)
[](https://coveralls.io/github/GlacioHack/geoutils?branch=main)
[](https://mybinder.org/v2/gh/GlacioHack/geoutils/main)
[](https://github.com/pre-commit/pre-commit)
[](https://github.com/python/black)
[](http://mypy-lang.org/)
[](https://pycqa.github.io/isort/)
**GeoUtils** is an open source project to develop a core Python package for geospatial analysis and foster inter-operability between other Python GIS packages.
It aims at **facilitating end-user geospatial analysis by revolving around consistent `Raster` and `Vector` objects** that effortlessly interface between
themselves. GeoUtils is founded on **implicit loading behaviour**, **robust numerical interfacing** and **convenient object-based methods** to easily perform
the most common higher-level tasks needed by geospatial users.
If you are looking for an accessible Python package to write the Python equivalent of your [GDAL](https://gdal.org/) command lines, or of your
[QGIS](https://www.qgis.org/en/site/) analysis pipeline **without a steep learning curve** on Python GIS syntax, GeoUtils is perfect for you! For more advanced
users, GeoUtils also aims at being efficient and scalable by supporting lazy loading and parallel computing (ongoing).
GeoUtils relies on [Rasterio](https://github.com/rasterio/rasterio), [GeoPandas](https://github.com/geopandas/geopandas) and [Pyproj](https://github.com/pyproj4/pyproj) for georeferenced
calculations, and on [NumPy](https://github.com/numpy/numpy) and [Xarray](https://github.com/pydata/xarray) for numerical analysis. It allows easy access to
the functionalities of these packages through interfacing or composition, and quick inter-operability through object conversion.
## Documentation
For a quick start, full feature description or search through the API, see GeoUtils' documentation at: https://geoutils.readthedocs.io.
## Installation
```bash
mamba install -c conda-forge geoutils
```
See [mamba's documentation](https://mamba.readthedocs.io/en/latest/) to install `mamba`, which will solve your environment much faster than `conda`.
## Start contributing
1. Fork the repository, make a feature branch and push changes.
2. When ready, submit a pull request from the feature branch of your fork to `GlacioHack/geoutils:main`.
3. The PR will be reviewed by at least one maintainer, discussed, then merged.
More info on [our contributing page](CONTRIBUTING.md).
Raw data
{
"_id": null,
"home_page": "https://github.com/GlacioHack/geoutils",
"name": "geoutils",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.13,>=3.10",
"maintainer_email": null,
"keywords": "raster, vector, geospatial, gis, xarray",
"author": "The GlacioHack Team",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/7e/b0/9a25d5d04b2b4b4da2fa465be446b435b4d9d0e9b1d227d08329c4d2039c/geoutils-0.1.12.tar.gz",
"platform": "any",
"description": "# GeoUtils: consistent geospatial analysis in Python.\n\n\n[](https://github.com/GlacioHack/GeoUtils/actions/workflows/python-tests.yml)\n[](https://anaconda.org/conda-forge/geoutils)\n[](https://anaconda.org/conda-forge/geoutils)\n[](https://anaconda.org/conda-forge/geoutils)\n[](https://badge.fury.io/py/geoutils)\n[](https://coveralls.io/github/GlacioHack/geoutils?branch=main)\n\n[](https://mybinder.org/v2/gh/GlacioHack/geoutils/main)\n[](https://github.com/pre-commit/pre-commit)\n[](https://github.com/python/black)\n[](http://mypy-lang.org/)\n[](https://pycqa.github.io/isort/)\n\n**GeoUtils** is an open source project to develop a core Python package for geospatial analysis and foster inter-operability between other Python GIS packages.\n\nIt aims at **facilitating end-user geospatial analysis by revolving around consistent `Raster` and `Vector` objects** that effortlessly interface between\nthemselves. GeoUtils is founded on **implicit loading behaviour**, **robust numerical interfacing** and **convenient object-based methods** to easily perform\nthe most common higher-level tasks needed by geospatial users.\n\nIf you are looking for an accessible Python package to write the Python equivalent of your [GDAL](https://gdal.org/) command lines, or of your\n[QGIS](https://www.qgis.org/en/site/) analysis pipeline **without a steep learning curve** on Python GIS syntax, GeoUtils is perfect for you! For more advanced\nusers, GeoUtils also aims at being efficient and scalable by supporting lazy loading and parallel computing (ongoing).\n\nGeoUtils relies on [Rasterio](https://github.com/rasterio/rasterio), [GeoPandas](https://github.com/geopandas/geopandas) and [Pyproj](https://github.com/pyproj4/pyproj) for georeferenced\ncalculations, and on [NumPy](https://github.com/numpy/numpy) and [Xarray](https://github.com/pydata/xarray) for numerical analysis. It allows easy access to\nthe functionalities of these packages through interfacing or composition, and quick inter-operability through object conversion.\n\n## Documentation\n\nFor a quick start, full feature description or search through the API, see GeoUtils' documentation at: https://geoutils.readthedocs.io.\n\n## Installation\n\n```bash\nmamba install -c conda-forge geoutils\n```\n\nSee [mamba's documentation](https://mamba.readthedocs.io/en/latest/) to install `mamba`, which will solve your environment much faster than `conda`.\n\n## Start contributing\n\n1. Fork the repository, make a feature branch and push changes.\n2. When ready, submit a pull request from the feature branch of your fork to `GlacioHack/geoutils:main`.\n3. The PR will be reviewed by at least one maintainer, discussed, then merged.\n\nMore info on [our contributing page](CONTRIBUTING.md).\n",
"bugtrack_url": null,
"license": "BSD-3",
"summary": "Analysis and handling of georeferenced rasters and vectors",
"version": "0.1.12",
"project_urls": {
"Download": "https://pypi.org/project/geoutils/",
"Homepage": "https://github.com/GlacioHack/geoutils"
},
"split_keywords": [
"raster",
" vector",
" geospatial",
" gis",
" xarray"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "042cd89b2b74f367a2c2e2e9564b3e94f8c3d509bdba98fe41a3d000a32a66b6",
"md5": "a934129821470b59def25845fc4b63b5",
"sha256": "0f8cdd3ffe507d7e6a0b5ca58ef185837c9b16f3b5fe6a69a26d90c36a77404d"
},
"downloads": -1,
"filename": "geoutils-0.1.12-py3-none-any.whl",
"has_sig": false,
"md5_digest": "a934129821470b59def25845fc4b63b5",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.13,>=3.10",
"size": 115918,
"upload_time": "2024-11-21T01:37:55",
"upload_time_iso_8601": "2024-11-21T01:37:55.887158Z",
"url": "https://files.pythonhosted.org/packages/04/2c/d89b2b74f367a2c2e2e9564b3e94f8c3d509bdba98fe41a3d000a32a66b6/geoutils-0.1.12-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "7eb09a25d5d04b2b4b4da2fa465be446b435b4d9d0e9b1d227d08329c4d2039c",
"md5": "3dc574d8cdeeb7a2d30ca177439dca2d",
"sha256": "e068882a2c0984986824b4b4ebdf8eca2f1a353184135c22cb34a7ec93fbf856"
},
"downloads": -1,
"filename": "geoutils-0.1.12.tar.gz",
"has_sig": false,
"md5_digest": "3dc574d8cdeeb7a2d30ca177439dca2d",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<3.13,>=3.10",
"size": 1070218,
"upload_time": "2024-11-21T01:37:57",
"upload_time_iso_8601": "2024-11-21T01:37:57.259794Z",
"url": "https://files.pythonhosted.org/packages/7e/b0/9a25d5d04b2b4b4da2fa465be446b435b4d9d0e9b1d227d08329c4d2039c/geoutils-0.1.12.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-11-21 01:37:57",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "GlacioHack",
"github_project": "geoutils",
"travis_ci": false,
"coveralls": true,
"github_actions": true,
"requirements": [
{
"name": "geopandas",
"specs": [
[
">=",
"0.12.0"
]
]
},
{
"name": "matplotlib",
"specs": [
[
"==",
"3.*"
]
]
},
{
"name": "pyproj",
"specs": [
[
"==",
"3.*"
]
]
},
{
"name": "rasterio",
"specs": [
[
"<",
"2"
],
[
">=",
"1.3"
]
]
},
{
"name": "pandas",
"specs": [
[
"<",
"3"
],
[
">=",
"1"
]
]
},
{
"name": "numpy",
"specs": [
[
"==",
"1.*"
]
]
},
{
"name": "scipy",
"specs": [
[
"==",
"1.*"
]
]
},
{
"name": "tqdm",
"specs": []
},
{
"name": "xarray",
"specs": []
},
{
"name": "dask",
"specs": []
},
{
"name": "rioxarray",
"specs": [
[
"==",
"0.*"
]
]
}
],
"lcname": "geoutils"
}
JSON
