Science, Nature & Maths      Earth Sciences

Python-Rezepte für die Geowissenschaften

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Book Details
Language
German
Publishers
Springer Spektrum; 1. Aufl. 2023 edition (13 Feb. 2024)
Weight
0.86 KG
Publication Date
18/03/2024
ISBN-10
366268117X
Pages
494 pages
ISBN-13
9783662681176
Dimensions
15.6 x 2.69 x 23.39 cm
SKU
9783662681176
Author Name
Martin H. Trauth (Author)
Martin H. Trauth is a professor of paleoclimate dynamics at University of Potsdam.Martin H. Trauth published more than one hundred peer-reviewed papers in high impact journals such as Science, Nature Geosciences, Nature Communications and the Proceedings of the National Academy of Sciences of the United States of America. He also authored six bestselling textbooks on collection, processing, analysis and presentation of geoscientific data with SpringerNature, including the popular MATLAB Recipes for Earth Sciences.Since ~30 years Martin H. Trauth has taught courses mostly in data analysis in earth sciences and science communication. He also directed five international summer schools funded by the Volkswagen Foundation with 25-70 participants and 15-20 lecturers in Ethiopia, Kenya, Tanzania, Germany–and during the Covid19 pandemic–online.Read more about this authorRead less about this author
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Python wird in einer Vielzahl geowissenschaftlicher Anwendungen eingesetzt, z. B.

bei der Verarbeitung von Bildern für die Fernerkundung, bei der Erstellung und Verarbeitung digitaler Höhenmodelle und bei der Analyse von Zeitreihen. Dieses Buch führt in Methoden der Datenanalyse in den Geowissenschaften mit Python ein, darunter grundlegende Statistiken für univariate, bivariate und multivariate Datensätze, Zeitreihenanalyse und Signalverarbeitung, die Analyse räumlicher und gerichteter Daten sowie die Bildanalyse.

Der Text enthält zahlreiche Beispiele, die zeigen, wie Python auf Datensätze aus den Geowissenschaften angewendet werden kann. Das ergänzende elektronische Material (online verfügbar über Springer Link) enthält neben den Beispieldaten auch Rezepte, die alle im Buch vorgestellten Python-Befehle enthalten.

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