Comparing Two Geostatistical Simulation Algorithms for Modelling the Spatial Uncertainty of Texture in Forest Soils

Comparing Two Geostatistical Simulation Algorithms for Modelling the Spatial Uncertainty of Texture in Forest Soils

Uncertainty assessment is an essential part of modeling and mapping the spatial variability of key soil properties, such as texture. The study aimed to compare sequential Gaussian simulation (SGS) and turning bands simulation (TBS) for assessing the uncertainty in unknown values of the textural frac...

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Bibliographic Details
Main Author:	Gabriele Buttafuoco
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Land
Subjects:	Sequential Gaussian simulation turning bands simulation compositional data realizations uncertainty assessment
Online Access:	https://www.mdpi.com/2073-445X/13/11/1835
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