Regional Geochemical Anomaly Identification Based on Multiple-Point Geostatistical Simulation and Local Singularity Analysis—A Case Study in Mila Mountain Region, Southern Tibet

Regional Geochemical Anomaly Identification Based on Multiple-Point Geostatistical Simulation and Local Singularity Analysis—A Case Study in Mila Mountain Region, Southern Tibet

The smoothing effect of data interpolation could cause useful information loss in geochemical mapping, and the uncertainty assessment of geochemical anomaly could help to extract reasonable anomalies. In this paper, multiple-point geostatistical simulation and local singularity analysis (LSA) are pr...

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Bibliographic Details
Main Authors: Cheng Li, Bingli Liu, Ke Guo, Binbin Li, Yunhui Kong
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Minerals
Subjects:
direct sampling algorithm
uncertainty assessment
local singularity analysis
geochemical anomaly
Online Access:https://www.mdpi.com/2075-163X/11/10/1037

Internet

https://www.mdpi.com/2075-163X/11/10/1037

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