[PDF]On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning an...

Bibliographic Information

• Book Title: On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory

• Authors: Fabian Guignard

• Series Title: Springer Theses

• DOI: https://doi.org/10.1007/978-3-030-95231-0

• Publisher: Springer Cham

• eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)

• Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

• Hardcover ISBN: 978-3-030-95230-3Published: 13 March 2022

• Softcover ISBN: 978-3-030-95233-4Due: 13 March 2023

• eBook ISBN: 978-3-030-95231-0Published: 12 March 2022

• Series ISSN: 2190-5053

• Series E-ISSN: 2190-5061

• Edition Number: 1

• Number of Pages: XVIII, 158

• Number of Illustrations: 25 b/w illustrations, 43 illustrations in colour