Skip to main content

A library for spatial aggregation and disaggregation

Project description

Gregor: Aggregation and disaggregation of spatial data

Gregor is a tool that makes your life easier when aggregating and dis-aggregating spatial data. It has been developed in the context of preparing data for energy system modeling, but can be applied in any situation involving spatial data.

Installation

Install the latest release via conda.

conda install --channel conda-forge gregor

Or, if you prefer, install directly from PyPI using pip.

pip install gregor

Alternatively, install an editable local version in an environment by cloning the repository and running:

pip install -e <path-to-repo>

Usage

Please have a look at the examples presented in the documentation.

How to cite

If you use Gregor, please cite it using the metadata provided in CITATION.CFF.

Development

If you encounter a bug, consider opening an issue on GitHub.

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

gregor-0.1.0.tar.gz (353.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gregor-0.1.0-py3-none-any.whl (9.0 kB view details)

Uploaded Python 3

File details

Details for the file gregor-0.1.0.tar.gz.

File metadata

  • Download URL: gregor-0.1.0.tar.gz
  • Upload date:
  • Size: 353.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for gregor-0.1.0.tar.gz
Algorithm Hash digest
SHA256 e061b9449b3bbca430b5ed1ddb41f2cec966961f75ddc7d1e2aef61658a42c99
MD5 df710ab43b1dcad3d946a08cafded01a
BLAKE2b-256 bfb7d7e422419e4fa98ac6ed3db994211d3ae78c7071b91c0012a28746a2fc4b

See more details on using hashes here.

File details

Details for the file gregor-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: gregor-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 9.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for gregor-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e824597a611f8c3634b6ed8589198bf202e06bc528014e1bd64d534ee48144e3
MD5 36e4a448576e5b2055cd05b644839a0a
BLAKE2b-256 87d179d979c70f5f2e33b0f10693e1d7e4f824c37cd392e102f7216d01129cdd

See more details on using hashes here.

Supported by

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