Gdptools
Project description
Readme
Welcome
Welcome to gdptools, a python package for grid- or polyon-to-polygon area-weighted interpolation statistics.
Documentation
Features
- Grid-to-polygon interpolation of area-weighted statistics.
- Use Mike Johnson's OPeNDAP catalog to access over 1700 unique datasets.
- Use any gridded dataset that can be read by xarray.
- Uses spatial index methods for improving the efficiency of areal-wieght calculation detailed by Geoff Boeing
Requirements
Data - xarray (gridded data) and Geopandas (Polygon data)
-
Xarray
- Any endpoint that can be read by Xarray and contains projected coordinates.
- Projection: any projection that can be read by proj.CRS (similar to Geopandas)
-
Geopandas
- Any file that can be read by Geopandas
- Projection: any projection that can be read by proj.CRS
Installation
You can install Gdptools via pip from PyPI:
pip install gdptools
or install via conda from conda-forge:
conda install -c conda-forge gdptools
Usage
Please see the example notebook for detailed examples.
Contributing
Contributions are very welcome. To learn more, see the Contributor Guide_.
License
Distributed under the terms of the CC0 1.0 Universal license, Gdptools is free and open source software.
Issues
If you encounter any problems, please file an issue along with a detailed description.
Credits
This project was generated from @hillc-usgs's Pygeoapi Plugin Cookiecutter template.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
gdptools-0.0.25.dev5.tar.gz
(14.5 MB
view hashes)
Built Distribution
Close
Hashes for gdptools-0.0.25.dev5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a9b00a1a725f7282400ba2fb285edb5c332ce3c8278f2fe2996bb4bd8f3a2d87 |
|
MD5 | 21e09aa7f043304591df17aaacfeb37b |
|
BLAKE2b-256 | 7a694a8be624b55f2253c33cfd1d826596912df5bfa75d3e0e26cd67e65f7d44 |