Semantic Kriging for Spatio-temporal Prediction

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...

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Bibliographic Details
Main Authors: Bhattacharjee, Shrutilipi (Author), Ghosh, Soumya Kanti (Author), Chen, Jia (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Studies in Computational Intelligence, 839
Subjects:
Computational intelligence.
Geographic information systems.
Artificial intelligence.
Computational Intelligence.
Geographical Information System.
Artificial Intelligence.
Online Access:Full-text access
Table of Contents:
  • 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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