An Adaptive Moving Window Kriging Based on K-Means Clustering for Spatial Interpolation

An Adaptive Moving Window Kriging Based on K-Means Clustering for Spatial Interpolation

Ordinary kriging (OK) is a popular interpolation method for its ability to simultaneously minimize error variance and deliver statistically optimal and unbiased predictions. In this work, the adaptive moving window kriging with K-means clustering (AMWKK) technique is developed to improve the estimat...

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Bibliographic Details
Main Authors: Nattakan Supajaidee, Nawinda Chutsagulprom, Sompop Moonchai
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Algorithms
Subjects:
window selection
ordinary kriging
moving window kriging
K-means clustering
spatial interpolation
geostatistics
Online Access:https://www.mdpi.com/1999-4893/17/2/57

Internet

https://www.mdpi.com/1999-4893/17/2/57

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