A New Methodology for Automatic Cluster-Based Kriging Using K-Nearest Neighbor and Genetic Algorithms

A New Methodology for Automatic Cluster-Based Kriging Using K-Nearest Neighbor and Genetic Algorithms

Kriging is a geostatistical interpolation technique that performs the prediction of observations in unknown locations through previously collected data. The modelling of the variogram is an essential step of the kriging process because it drives the accuracy of the interpolation model. The conventio...

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Bibliographic Details
Main Authors: Carlos Yasojima, João Protázio, Bianchi Meiguins, Nelson Neto, Jefferson Morais
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Information
Subjects:
spatial interpolation
variogram fitting
clustering
bioinspired algorithms
Online Access:https://www.mdpi.com/2078-2489/10/11/357

Internet

https://www.mdpi.com/2078-2489/10/11/357

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