9dExcel Data Analytics Reboot: Spatial Declustering

Data Analytics and Geostatistics Undergraduate Course, Professor Michael J. Pyrcz Lecture Summary: Walk-through of a simple spatial declustering workflow in Excel (without Visual Basic Applications!). We must assume that all sparsely sampled spatial datasets are biased until proven otherwise! Let's understand and mitigate spatial data bias. For more on the causes of spatial data bias see my lecture on spatial bias: https://youtu.be/w0HgVibxpMQ?si=K7soBwsrQ_3Iv1N0 The Excel workbook (.xlsx file) is here: https://git.io/fxA3O. Free, Online Course e-book Chapter: https://geostatsguy.github.io/GeostatsPyDemos_Book/GeostatsPy_declustering.html Theory and well-documented workflows linked to the lectures and interactive Python dashboards. Course Summary: Data Analytics and Geostatistics is an undergraduate course that I teach at The University of Texas at Austin. We build up fundamental spatial, subsurface, geoscience and engineering modeling, from probability, statistics, heterogeneity measures, spatial continuity models, spatial estimation, spatial simulation, model checking, decision making, and machine learning basics. I provide accessible content to help you face the digital revolution! My Shared Educational Content: YouTube: https://www.youtube.com/@GeostatsGuyLectures GitHub: https://github.com/GeostatsGuy Course e-book: https://geostatsguy.github.io/GeostatsPyDemos_Book I share all of my university educational content to support students and working professionals interested to learn data analytics, geostatistics, and machine learning. More About the Author: https://michaelpyrcz.com I hope that you find my educational course content helpful on your data science journey, Professor Michael J. Pyrcz Cockrell School of Engineering Jackson School of Geosciences The University of Texas at Austin