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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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Semantic Kriging for Spatio-temporal Prediction (Hardcover, 1st ed. 2019)
Loot Price: R2,957
Discovery Miles 29 570
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Semantic Kriging for Spatio-temporal Prediction (Hardcover, 1st ed. 2019)
Series: Studies in Computational Intelligence, 839
Expected to ship within 10 - 15 working days
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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.
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