Python库 | tobler-0.3.0.tar.gz

<p align="center"> <img src="docsrc/figs/tobler_long.png" height="200px"> </p> [](https://travis-ci.org/pysal/tobler) [](https://coveralls.io/github/pysal/tobler?branch=master&service=github&kill_cache=1)     [](https://zenodo.org/badge/latestdoi/202220824) Tobler is a python package for areal interpolation, dasymetric mapping, and change of support. <p></p> `tobler` provides: * areal interpolation for intensive and extensive variables * use raster files to improve interpolation accuracy + areal interpolation assuming data should only be allocated to specific land types + model-based interpolation using [regression](https://github.com/spatialucr/tobler/blob/master/examples/vectorized_raster_example.ipynb) approaches that incorporates auxiliary data * Much more to come! **Easily convert geospatial data from one polygonal representation to another:**  **Improve conversion accuracy by incorporating raster image data from satellites:**  ## Installation ```bash $ conda env create -f environment.yml $ conda activate tobler $ python setup.py develop ``` Contribute ---------- PySAL-tobler is under active development and contributors are welcome. If you have any suggestion, feature request, or bug report, please open a new [issue](https://github.com/pysal/tobler/issues) on GitHub. To submit patches, please follow the PySAL development [guidelines](http://pysal.readthedocs.io/en/latest/developers/index.html) and open a [pull request](https://github.com/pysal/tobler). Once your changes get merged, you’ll automatically be added to the [Contributors List](https://github.com/pysal/tobler/graphs/contributors). License ------- The project is licensed under the [BSD license](https://github.com/pysal/tobler/blob/master/LICENSE.txt). Funding ------- <img src="docs/figs/nsf_logo.jpg" width="50"> Award #1733705 [Neighborhoods in Space-Time Contexts](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1733705&HistoricalAwards=false) Award #1831615 [Scalable Geospatial Analytics for Social Science Research](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1831615)