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Python Recipes for Earth Sciences

BuchKartoniert, Paperback
453 Seiten
Englisch
Springererschienen am02.10.20231st ed. 2022
This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing;mehr
Verfügbare Formate
BuchGebunden
EUR85,59
BuchKartoniert, Paperback
EUR60,98

Produkt

KlappentextThis book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing;
Details
ISBN/GTIN978-3-031-07721-0
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2023
Erscheinungsdatum02.10.2023
Auflage1st ed. 2022
ReiheSpringer Textbooks in Earth Sciences, Geography and Environment
Seiten453 Seiten
SpracheEnglisch
IllustrationenXII, 453 p. 200 illus., 110 illus. in color.
Artikel-Nr.54648335

Inhalt/Kritik

Inhaltsverzeichnis
Data Analysis in the Earth Sciences.- Introduction to Python.- Univariate Statistics.- Bivariate Statistics.- Time Series Analysis.- Signal Processing.- Spatial Data.- Image Processing.- Multivariate Statistics.- Directional Data.mehr

Autor

Martin H. Trauth studied geophysics and geology at the University of Karlsruhe. He obtained a doctoral degree from the University of Kiel in 1995 and subsequently became a permanent member of the scientific staff at the University of Potsdam. Following his habilitation in 2003, he became a lecturer, and in 2011, he was granted a titular professorship at the University of Potsdam. Since 1990, Martin H. Trauth has worked on various aspects of past changes in the climates of eastern Africa and South America. His projects have aimed to provide a better understanding of (1) the role that the tropics play in terminating ice ages, (2) the relationship between climatic changes and human evolution, and (3) the influence that climate anomalies have had on mass movements in the central Andes. Each of these projects has involved numerical and statistical methods (e.g., time series analysis and signal processing) with paleoclimate time series, lake balance modeling, stochastic modeling of bioturbation, age-depth modeling of sedimentary sequences, or satellite- and microscopic image processing. Martin H. Trauth has taught a variety of courses on data analysis in the earth sciences for more than 25 years both at the University of Potsdam and at other universities around the world.