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What is Soil Property Estimation vs. Simulation about?

This document presents an optimization algorithm to generate maps that have properties ranging from estimation to simulation. It aims to balance minimizing local error variance, like in kriging estimation, with reproducing global spatial variability, like in stochastic simulation. The algorithm uses simulated annealing to modify an initial random image based on three criteria: local error minimization, histogram reproduction, and semivariogram reproduction. Weighting these criteria allows generating maps wi

Author

jhon montero

Language

EN