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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...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | e-Book |
| Language: | English |
| Published: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Studies in Computational Intelligence,
839 |
| Subjects: | |
| Online Access: | Full-text access View in OPAC |