Lijing Wang: Data Science for the Geosciences

Cover: 9781009201407 | Data Science for the Geosciences | Lijing Wang (u. a.) | Taschenbuch

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Sprache: Englisch

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Beschreibung

Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide.

Über den Autor

Dr. Lijing Wang is a Postdoctoral Research Fellow in the Earth and Environmental Sciences Area at Lawrence Berkeley National Laboratory. She earned her Ph.D. from the Department of Earth and Planetary Sciences at Stanford University. Her research centers on integrating geoscientific data, such as geophysical surveys and in-situ hydrological measurements, with hydrological modeling to develop informed solutions for water resource management. She was a Stanford Data Science Scholar and had been a teaching assistant for the Data Science for Geosciences course at Stanford for over three years. She has received the Harriet Benson Fellowship from Stanford for her exceptional research accomplishments.

Inhaltsverzeichnis

1. Extreme value statistics; 2. Multi-variate analysis; 3. Spatial data aggregation; 4. Geostatistics; 5. Review of mathematical and statistical concepts.

Erscheinungsjahr:	2023
Genre:	Geowissenschaften , Importe
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
ISBN-13:	9781009201407
ISBN-10:	1009201409
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Wang, Lijing Yin, David Zhen Caers, Jef
Hersteller:	Cambridge University Pr.
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße:	252 x 202 x 15 mm
Von/Mit:	Lijing Wang (u. a.)
Erscheinungsdatum:	17.08.2023
Gewicht:	0,674 kg