A Non-Linear Trend Function for Kriging with External Drift Using Least Squares Support Vector Regression

A Non-Linear Trend Function for Kriging with External Drift Using Least Squares Support Vector Regression

Spatial interpolation of meteorological data can have immense implications on risk management and climate change planning. Kriging with external drift (KED) is a spatial interpolation variant that uses auxiliary information in the estimation of target variables at unobserved locations. However, trad...

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Bibliographic Details
Main Authors: Kanokrat Baisad, Nawinda Chutsagulprom, Sompop Moonchai
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Mathematics
Subjects:
geostatistics
spatial interpolation
kriging with external drift
least squares support vector regression
trend function
Online Access:https://www.mdpi.com/2227-7390/11/23/4799

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https://www.mdpi.com/2227-7390/11/23/4799

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