geoutils 0.0.10

Tools for working with geospatial data

geoutils

Set of tools to handle raster and vector data sets in Python.

This package offers Python classes and functions as well as command line tools to work with both geospatial raster and vector datasets. It is built upon rasterio and GeoPandas. In a single command it can import any geo-referenced dataset that is understood by these libraries, complete with all geo-referencing information, various helper functions and interface between vector/raster data.

Installation

With conda (recommended)

conda install --channel conda-forge --strict-channel-priority geoutils

The --strict-channel-priority flag seems essential for Windows installs to function correctly, and is recommended for UNIX-based systems as well.

With pip

From PyPI:

pip install geoutils

Or from the repository tarball: make sure GDAL and PROJ are properly installed, then:

pip install https://github.com/GlacioHack/geoutils/tarball/main

Documentation

See the full documentation at https://geoutils.readthedocs.io.

Structure

GeoUtils is composed of three libraries:

• georaster.py to handle raster data set. In particular, a Raster class to load a raster file along with metadata.
• geovector.py to handle vector data set. In particular, a Vector class to load a raster file along with metadata.
• projtools.py with various tools around projections.

How to contribute

You can find ways to improve the libraries in the issues section. All contributions are welcome.

1. Fork the repository to your personal GitHub account, clone to your computer.
2. (Optional but preferred:) Make a feature branch.
3. Push to your feature branch.
4. When ready, submit a Pull Request from your feature branch to GlacioHack/geoutils:master.
5. The PR will be reviewed by at least one other person. Usually your PR will be merged via 'squash and merge'.

Direct pushing to the GlacioHack repository is not permitted.

A more detailed contribution instruction can be found here.