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Binder

Online Interactive Python Demonstrations for Spatial Data Analytics, Geostatistics and Machine Learning

Michael Pyrcz, Associate Professor, University of Texas at Austin

Twitter | GitHub | Website | GoogleScholar | Book | YouTube | LinkedIn

To support my students, I'm using Binder to host some of my interactive Python spatial data analytics, geostatistics and machine learning demonstration workflows online. Some of my students are having issues with setting up their local computing environments and instantiating the interactive workflows.

  • I hope this will assist these students and remove barriers for these educational tools to invite a wider audience that may benefit from experiential learning - playing with the systems and machines in real-time.

Click on the link above to launch binder with container to run the included workflow.

A minimum environment is set set up with:

  • Python 3.7.10 - due to the depdendency of GeostatsPy on the Numba package for code acceleration
  • MatPlotLib - plotting
  • NumPy - gridded data and array math
  • Pandas - tabulated data
  • SciPy - statistics module
  • ipywidgets - for plot interactivity
  • GeostatsPy - geostatistical algorithms and functions (Pyrcz et al., 2021)

The required datasets are available in the GeoDataSets repository and linked in the workflows

The interative Python examples include a variety of topics like:

  • Bayesian statistics
  • variogram calculation and modeling
  • spatial estimation
  • spatial simulation

More will be added soon. If you want to see all my interative and well-documented demonstration workflows in Python, check out my Resources Inventory.

I hope this is hlepful to many interested to learn about spatial data analytics, geostatistics and machine learning. I'm all about remoing barriers to education and encouraging folks to learn coding and data-driven modeling!

Sincerely,

Michael

Michael Pyrcz, Associate Professor, University of Texas at Austin

Novel Data Analytics, Geostatistics and Machine Learning Subsurface Solutions

With over 17 years of experience in subsurface consulting, research and development, Michael has returned to academia driven by his passion for teaching and enthusiasm for enhancing engineers' and geoscientists' impact in subsurface resource development.

For more about Michael check out these links:

Twitter | GitHub | Website | GoogleScholar | Book | YouTube | LinkedIn

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