GeoGals

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

• Free software: MIT license

• Tutorials: https://github.com/astrobenji/GeoGals/tree/main/docs/tutorials

• Further documentation: https://geogals.readthedocs.io/

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.