![]() Walvoort of the Wageningen University & Research Center saw the same problem and created an nifty learning to to explore varigoram models and spatial predictions using ordinary kriging - EZ-Kriging. Either way, you’re bound to produce output with fundamental flaws because you’re not aware of the finer details of variogram modelling. Unfortunately most geostats/kriging software is either too complex for exploratory learning (not enough immediate feedback) or too simplistic (making too many assumptions, disallowing access to the nitty-gritty details). ![]() ![]() Guides like Tomislav Hengl’s Practical Guide to Geostatistical Mapping of Environmental Variables and Rossiter’s Introduction to applied geostatistics do an excellent job of providing a grounded, relatively easy to understand, introduction to geostatical prediction and kriging.īut if you’re an experience learner (like me) you don’t absorb the mathematics fully without doing something with the knowledge Seeing it in action brings the concepts to life.
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