Skip to main content

A publicly available repository for using geostatistical methods on real and simulated galaxy data.

Project description

https://img.shields.io/pypi/v/geogals.svg https://img.shields.io/travis/astrobenji/geogals.svg Documentation Status

A publicly available repository for using geostatistical methods on real and simulated galaxy data.

Features

This package contains functions that enable a user to:

  • Create a semivariogram for real or simulated spatial galaxy data

  • Fit geostatistical models to galaxy data that accounts for a spatially-varying mean, as well as small-scale fluctuations

  • Use kriging to predict values of random fields at observed/unobserved locations

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

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

geogals-0.1.2.tar.gz (17.4 kB view details)

Uploaded Source

Built Distribution

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

geogals-0.1.2-py3-none-any.whl (10.8 kB view details)

Uploaded Python 3

File details

Details for the file geogals-0.1.2.tar.gz.

File metadata

  • Download URL: geogals-0.1.2.tar.gz
  • Upload date:
  • Size: 17.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for geogals-0.1.2.tar.gz
Algorithm Hash digest
SHA256 4aab75f93c157f80fa77c1141a0ac1fb62b827ee168a0df58ffb844ee2813de3
MD5 a844c5eaf05122be3259ba0ddf58c90f
BLAKE2b-256 496c23836df8442552eef3e94c5d7e7e8d8046208d79db6fe2d044fa41fa1c42

See more details on using hashes here.

File details

Details for the file geogals-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: geogals-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 10.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for geogals-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 7b158bb697248fb1dc3f4cd0ce7b400bea8409c1ed445e1fb2e5b8beae03314c
MD5 0da682553a7fb07ba7102a625fc72709
BLAKE2b-256 7b82d855fea195cd5d46fa294a52cbf4e5878817750559d458a87bc8c77db695

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