Python Recipes for Earth Sciences (Hardcover)
Language: English
Published by Springer International Publishing AG, Cham, 2024
Series: Book 55 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
- New

Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
US$ 227.57
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Hardcover. Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. 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; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. Codes are available online through GitHub. 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; Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Seller Inventory # 9783031569050
- Title
- Python Recipes for Earth Sciences (Hardcover)
- Author
- Martin H. Trauth
- Publisher
- Springer International Publishing AG, Cham
- Publication year
- 2024
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3031569059
- ISBN 13
- 9783031569050
- Edition
- 2nd Edition
- Series
- Book 55 of 55: Springer Textbooks in Earth Sciences, Geography and Environment
Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. 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; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. Codes are available online through GitHub.
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AussieBookSeller
Truganina, VIC, Australia
AbeBooks seller since June 22, 2007
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The Nile Group Pty Ltd
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