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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...

Detaylı Bibliyografya
Asıl Yazarlar:	Bhattacharjee, Shrutilipi (Yazar), Ghosh, Soumya Kanti (Yazar), Chen, Jia (Yazar)
Müşterek Yazar:	SpringerLink (Online service)
Materyal Türü:	e-Kitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Singapore : Springer Nature Singapore : 2019. Imprint: Springer,
Edisyon:	1st ed. 2019.
Seri Bilgileri:	Studies in Computational Intelligence, 839
Konular:	Computational intelligence. Geographic information systems. Artificial intelligence. Computational Intelligence. Geographical Information System. Artificial Intelligence.
Online Erişim:	Full-text access

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