Semantic Kriging for Spatio-temporal Prediction (Studies in Computational Intelligence, #839)

by Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, and Jia Chen

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Book cover for Semantic Kriging for Spatio-temporal Prediction

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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.

  • ISBN13 9789811386633
  • Publish Date 10 July 2019
  • Publish Status Active
  • Publish Country SG
  • Imprint Springer Verlag, Singapore
  • Edition 1st ed. 2019
  • Format Hardcover
  • Pages 127
  • Language English