Skip to main content

Balzer's algorithm (DCCVT) to find a maximally population compact map

Project description

rdadccvt

Balzer's algorithm (DCCVT) to find a maximally population compact map

Installation

To clone the repository:

$ git clone https://github.com/alecramsay/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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rdadccvt-1.1.1.tar.gz (10.0 kB view details)

Uploaded Source

Built Distribution

rdadccvt-1.1.1-py3-none-any.whl (10.3 kB view details)

Uploaded Python 3

File details

Details for the file rdadccvt-1.1.1.tar.gz.

File metadata

  • Download URL: rdadccvt-1.1.1.tar.gz
  • Upload date:
  • Size: 10.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for rdadccvt-1.1.1.tar.gz
Algorithm Hash digest
SHA256 a7949a6c48fc3e6066d332db227024b7596ea5b7b62f6065e3b2c1c69a215312
MD5 42b3a1a327c94cffeba6b82404e7863d
BLAKE2b-256 c2dab5bac6ba89d1f049c6f2141d30a73e9230e3f329d155c0fdd8c012c41677

See more details on using hashes here.

File details

Details for the file rdadccvt-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: rdadccvt-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 10.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for rdadccvt-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5e3a222bbda091bafa1cb975f10587268ae6385bb4a67efbc0e91cb5a0f83a05
MD5 d7e8ad58da52e0562ccd50dc7f67ee34
BLAKE2b-256 25c1bd79a5a1a0fa9d441ec9a72abdbc85e597eefced941efc91deaf33d20a97

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page