Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (16.7%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Areal interpolation
Basic Info
- Host: GitHub
- Owner: darribas
- License: bsd-3-clause
- Default Branch: master
- Homepage: https://pysal.org/tobler
- Size: 117 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of pysal/tobler
Created over 5 years ago
· Last pushed almost 3 years ago
https://github.com/darribas/tobler/blob/master/
[](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. `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, youll 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 -------
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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)
Owner
- Name: Dani Arribas-Bel
- Login: darribas
- Kind: user
- Website: darribas.org
- Repositories: 128
- Profile: https://github.com/darribas
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)