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Studies in Computational Intelligence

Semantic Kriging for Spatio-temporal Prediction

Authors: Bhattacharjee, Shrutilipi, Ghosh, Soumya Kanti, Chen, Ing Jia

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  • Identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy
  •  
  • Discusses novel semantic kriging (SemK) and its variants, which facilitate different types of prediction and forecasting
  •  
  • Is useful for researchers and young scholars
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eBook $109.00
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  • ISBN 978-981-13-8664-0
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  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-981-13-8663-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

About the authors

Dr. Shrutilipi Bhattacharjee is a Postdoctoral Fellow (PDF) in the Department of Electrical and Computer Engineering, Technical University of Munich, Germany. She completed her B.Tech. from West Bengal University of Technology, India; M.Tech. from National Institute of Technology, Durgapur, India, and Ph.D. from Indian Institute of Technology, Kharagpur, India. Her research interests include geoscience, remote sensing, environmental modelling, semantic analysis, spatial data mining, and spatial statistics. She has published numerous papers in international journals and at conferences. She is also a reviewer for a number of journals and conferences. She is a young professional member of IEEE (including GRSS and WIE) and ACM. 

Prof. Soumya K. Ghosh is a Professor in the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur, India. He has been awarded the National Geospatial Chair Professorship by the Department of Science and Technology, Government of India in 2017. He completed his M.Tech. and Ph.D. in Computer Science and Engineering at IIT Kharagpur. Prior to IIT Kharagpur, he worked for Indian Space Research Organization, Government of India, as Scientist in the area of Satellite Remote Sensing and GIS. He has more than 15 years of teaching experience and supervised more than 10 Ph.D. theses. His research interests include spatial informatics, spatial data science, geographic information systems, and cloud computing. He has published numerous papers in international journals and conference proceedings. He is a member of IEEE and ACM. 

Dr. Jia Chen is a Professor at the Technical University of Munich and an Associate in the Department of Earth and Planetary Sciences at Harvard University. She completed her Master’s degree in Engineering at University Karlsruhe and Ph.D. at the Technical University of Munich, after which she also worked as Postdoctoral Fellow in Environmental Science & Engineering at Harvard University. She has published over 100 papers in international journals and conferences and has also filed 12 patents. She is also an active reviewer for several international journals and a member of IEEE Photonics Society, EGU, VDE and VDI.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-981-13-8664-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-981-13-8663-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Semantic Kriging for Spatio-temporal Prediction
Authors
Series Title
Studies in Computational Intelligence
Series Volume
839
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-8664-0
DOI
10.1007/978-981-13-8664-0
Hardcover ISBN
978-981-13-8663-3
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XXV, 127
Number of Illustrations
16 b/w illustrations, 76 illustrations in colour
Topics