Advanced Geostatistics
Applying spatial statistical methods like kriging, variograms, and simulation to model and predict subsurface or geographic phenomena.
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Why It Matters
AI models can process massive geospatial datasets, but interpreting spatial uncertainty, validating model assumptions, and integrating domain knowledge into geostatistical workflows require trained human judgment.
How to Get Started
Take Stanford's or the University of Alberta's geostatistics courses, and practice with open-source tools like SGeMS or the GeostatsPy Python library on publicly available mining or environmental datasets.
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