Hi Steve; here is an example. Surface soil clay content semivariogram modelling and cross validation result. Model :spherical Model ------------- Mean Pre. Err.-------- Root Mean. Sq. ----- Root M sq Stand. 1 (optimized by program) 0.03453 -------- 7.521 ------------ 1.036 2 (my semivariogram model) 0.0556 --------- 7.437 ------------ 1.0741 Which one I should choose?
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