Semantic kriging for spatio-temporal prediction / Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, Jia Chen.
Bhattacharjee, Shrutilipi, author.; Ghosh, Soumya Kanti, author.; Chen, Jia, author.
2019
QC866 .B43 2019
Available Online

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Title Semantic kriging for spatio-temporal prediction / Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, Jia Chen.
Author Bhattacharjee, Shrutilipi, author.
ISBN 9789811386640 (electronic book)
9811386641 (electronic book)
9811386633
9789811386633
Published Singapore : Springer, [2019]
Language English
Description 1 online resource.
Item Number 10.1007/978-981-13-8
Call Number QC866 .B43 2019
Dewey Decimal Classification 551.5028
Summary 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 facilitate different types of prediction and forecasting, such as spatial and spatio-temporal, a-priori and a-posterior, univariate and multivariate. As such, the book also covers the process of deriving the meteorological parameters from raw satellite remote sensing imagery, and helps understanding different prediction method categories and the relation between spatial interpolation methods and other prediction methods. The book is a valuable resource for researchers working in the area of prediction of meteorological parameters, semantic analysis (ontology-based reasoning) of the terrain, and improving predictions using auxiliary knowledge of the terrain.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from digital title page (viewed on July 26, 2019).
Added Author Ghosh, Soumya Kanti, author.
Chen, Jia, author.
Series Studies in computational intelligence ; v. 839.
Available in Other Form Print version: 9789811386633
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Chapter 1. Introduction
Chapter 2. Spatial Interpolation
Chapter 3. Spatial Semantic Kriging
Chapter 4. Fuzzy Bayesian Semantic Kriging
Chapter 5. Spatio-temporal Reverse Semantic Kriging
Chapter 6. Summary and Future Research.

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