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GeoUtils: consistent geospatial analysis in Python.\n\n![](https://readthedocs.org/projects/geoutils/badge/?version=latest)\n[![build](https://github.com/GlacioHack/geoutils/actions/workflows/python-tests.yml/badge.svg)](https://github.com/GlacioHack/GeoUtils/actions/workflows/python-tests.yml)\n[![Conda Version](https://img.shields.io/conda/vn/conda-forge/geoutils.svg)](https://anaconda.org/conda-forge/geoutils)\n[![Conda Platforms](https://img.shields.io/conda/pn/conda-forge/geoutils.svg)](https://anaconda.org/conda-forge/geoutils)\n[![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/geoutils.svg)](https://anaconda.org/conda-forge/geoutils)\n[![PyPI version](https://badge.fury.io/py/geoutils.svg)](https://badge.fury.io/py/geoutils)\n[![Coverage Status](https://coveralls.io/repos/github/GlacioHack/geoutils/badge.svg?branch=main)](https://coveralls.io/github/GlacioHack/geoutils?branch=main)\n\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/GlacioHack/geoutils/main)\n[![Pre-Commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit\u0026logoColor=white)](https://github.com/pre-commit/pre-commit)\n[![Formatted with black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)\n[![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)\n[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat\u0026labelColor=ef8336)](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","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fglaciohack%2Fgeoutils","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fglaciohack%2Fgeoutils","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fglaciohack%2Fgeoutils/lists"}