Semantic kriging for spatio-temporal prediction / Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, Jia Chen.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

Semantic kriging for spatio-temporal prediction / Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, Jia Chen.

9789811386640 (electronic book)
9811386641 (electronic book)
9811386633
9789811386633

Singapore : Springer, [2019]

English

1 online resource.

10.1007/978-981-13-8

QC866 .B43 2019

551.5028

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.

Includes bibliographical references.

Access limited to authorized users.

Description based on online resource; title from digital title page (viewed on July 26, 2019).

Studies in computational intelligence ; v. 839.

Print version: 9789811386633

Online Resources > Ebooks
All Resources