Isbn: 9783031077210 - python recipes for earth sciences (7 risultati)

Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 39 di 55 - Springer Textbooks in Earth Sciences, Geography and Environment
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Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 39 di 55 - Springer Textbooks in Earth Sciences, Geography and Environment
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.…

Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 39 di 55 - Springer Textbooks in Earth Sciences, Geography and Environment
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Taschenbuch. Condizione: Neu. Python Recipes for Earth Sciences | Martin H. Trauth | Taschenbuch | xii | Englisch | 2023 | Springer | EAN 9783031077210 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 39 di 55 - Springer Textbooks in Earth Sciences, Geography and Environment
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Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Okt 2023, 2023
Serie: Libro 39 di 55 - Springer Textbooks in Earth Sciences, Geography and Environment
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book. 468 pp. Englisch.…

Lingua: Inglese
Editore: Springer International Publishing, 2023
Serie: Libro 39 di 55 - Springer Textbooks in Earth Sciences, Geography and Environment
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces methods of data analysis in geosciences using PythonContains a complete collection of computer codes and sample data, as well as an accompanying blogWritten by an expert for geoscientific modeling programsData Analysis in.…

Lingua: Inglese
Editore: Springer, Springer Okt 2023, 2023
Serie: Libro 39 di 55 - Springer Textbooks in Earth Sciences, Geography and Environment
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 468 pp. Englisch.…