rdadccvt
Balzer's algorithm (DCCVT) to find a maximally population compact map
Installation
To clone the repository:
$ git clone https://github.com/rdatools/rdadccvt
$ cd rdadccvt
To install the package:
$ pip install rdadccvt
Then copy the dccvt executable from the bin directory to the bin directory where you installed the package.
Usage
See the rdatools/rdaroot and rdatools/rdaensemble repositories for examples of how to use this package. The former takes contiguous and 'roughly equal' population maps, and minimizes the energy (maximizes the population compactness). The latter uses Balzer's algorithm as part of a multi-step process to create a contiguous and 'roughly equal' population map from a random set of starting district centroids.
1 maintainer
Metadata
1 maintainer
Release files for rdadccvt 1.6.0
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| File | Size | Uploaded | Provenance | Actions |
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| rdadccvt-1.6.0.tar.gz | 10.0 kB | Without provenance | Details for rdadccvt-1.6.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| rdadccvt-1.6.0-py3-none-any.whl | Python 3 | none | any | Details for rdadccvt-1.6.0-py3-none-any.whl |
Total release size: 20.3 kB
Release files / rdadccvt-1.6.0.tar.gz
| Download URL | rdadccvt-1.6.0.tar.gz |
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Release files / rdadccvt-1.6.0-py3-none-any.whl
| Download URL | rdadccvt-1.6.0-py3-none-any.whl |
|---|---|
| Size | 10.3 kB |
| Tags | Python 3 |
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