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

Project description

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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.

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