Data Science for the Geosciences - Hardcover

Wang, Lijing; Yin, Zhen; Caers, Jef

 
9781009201414: Data Science for the Geosciences

Inhaltsangabe

An accessible text providing data science foundations to address earth science questions using real-world case studies.

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Über die Autorinnen und Autoren

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.

Dr. Jef Caers is Professor of Earth and Planetary Sciences in the Stanford Doerr School of Sustainability. He is the author of a wide range of journal papers across mathematics, statistics, geological sciences, geophysics, engineering and computer science, and four other books. He has received several best paper awards, as well as the 2001 Vistelius Award from the International Association for Mathematical Geosciences (IAMG) and the 2014 Krumbein Medal from the IAMG for his career achievement.

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9781009201407: Data Science for the Geosciences

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ISBN 10:  1009201409 ISBN 13:  9781009201407
Verlag: Cambridge University Press, 2023
Softcover