Semantic Kriging for Spatio-temporal Prediction

• Main Authors: Bhattacharjee, Shrutilipi (Author, http://id.loc.gov/vocabulary/relators/aut), Ghosh, Soumya Kanti (http://id.loc.gov/vocabulary/relators/aut), Chen, Jia (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Computational Intelligence, 839
• Subjects: Computational intelligence.; Remote sensing.; Artificial intelligence.; Computational Intelligence.; Remote Sensing/Photogrammetry.; Artificial Intelligence.

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...