
Kriging Neighborhood Analysis: Finding the Right Search Ellipse
Your kriging search ellipse determines which samples influence each block estimate. Too big and you over-smooth. Too small and you're noisy. Here's how to find the right one.
7 articles

Your kriging search ellipse determines which samples influence each block estimate. Too big and you over-smooth. Too small and you're noisy. Here's how to find the right one.

Your variogram is the foundation of your kriging estimate. Get it wrong and every block in your model is biased. Here are the five mistakes I see most often in Indonesian resource projects.

When indicator kriging beats ordinary kriging, how to build probability maps from binary transforms, and threshold selection for Indonesian gold deposits.

Geoscience × data science for Indonesia: deterministic geostatistics, transparent algorithms, a variogram you can see. Three skills, not a ChatGPT wrapper.

Composite length is one of the most consequential and least-discussed decisions in resource estimation. Here's the field-tested framework for picking the right one.

Top-cuts are one of the most consequential and least-defended decisions in gold resource estimation. Here are three methods, when to apply them, and when capping is the wrong answer.

Variograms without the equations. A field-first walkthrough of sill, range, nugget, anisotropy, and how to actually read an experimental variogram before you fit a model.
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