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Semantic Kriging for Spatio-temporal Prediction

This book identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy of meteorological parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK) and its variants f...

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Bibliographic Details
Main Authors:	Bhattacharjee, Shrutilipi (Author), Ghosh, Soumya Kanti (Author), Chen, Jia (Author)
Corporate Author:	SpringerLink (Online service)
Format:	e-Book
Language:	English
Published:	Singapore : Springer Nature Singapore : 2019. Imprint: Springer,
Edition:	1st ed. 2019.
Series:	Studies in Computational Intelligence, 839
Subjects:	Computational intelligence. Geographic information systems. Artificial intelligence. Computational Intelligence. Geographical Information System. Artificial Intelligence.
Online Access:	Full-text access

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