Semantic Kriging for Spatio-temporal Prediction (repost)
Shrutilipi Bhattacharjee, "Semantic Kriging for Spatio-temporal Prediction "
English | ISBN: 9811386633 | 2019 | 127 pages | EPUB | 43 MB
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.