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https://github.com/mmaelicke/egu2020

Showcase for my EGU 2020 display
https://github.com/mmaelicke/egu2020

egu2020 jupyter scikit-gstat

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Showcase for my EGU 2020 display

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# SciKit-GStat

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3552235.svg)](https://doi.org/10.5281/zenodo.3552235)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/mmaelicke/egu2020/master)
[![PyPI version](https://badge.fury.io/py/scikit-gstat.svg)](https://badge.fury.io/py/scikit-gstat)
[![github](https://img.shields.io/badge/Github-scikit--gstat-9cf?style=flat&logo=github)](https://github.com/mmaelicke/scikit-gstat)

## A scipy flavored geostatistical analysis toolbox written in Python

This repository is a demo showcase for my [presentation](https://meetingorganizer.copernicus.org/EGU2020/EGU2020-6678.html) on the [EGU 2020: Sharing Geoscience Online](https://www.egu2020.eu/).

It is deployed using [notebook-classroom](https://github.com/hydrocode-de/notebook-classroom), the deployment can be found at [https://mmaelicke.github.io/egu2020](https://mmaelicke.github.io/egu2020)

It is also possible to load the script directly in [binder](https://mybinder.org/v2/gh/mmaelicke/egu2020/master) as an executable version.

The SciKit-GStat Github repository can be found [here](https://github.com/mmaelicke/scikit-gstat) and the documentation can be found [here](https://mmaelicke.github.io/scikit-gstat).

## Video

Watch a screen recording of the online material

[![](https://img.youtube.com/vi/JH1J8xRkbO4/0.jpg)](https://www.youtube.com/watch?v=JH1J8xRkbO4)