Python recipes for earth sciences

Python recipes for earth sciences

by Trauth, Martin H.

Type Book
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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 ex…

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Title Statements

  • Full title :Python recipes for earth sciences / Martin H. Trauth.

Summary

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.

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Edition Statements

  • Publication Date:2022.

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Cham
  • Language:eng
  • Publication Date:2022.

Notes

Includes online access.

The Physical Object

  • Description:1 volume : : illustrations (black and white, and colour) ; : 24 cm.

Edition Identifiers

  • ISBN:9783031077180, 3031077180
  • oclc:on1338674292
  • Dewey Decimal:550.2855133

Subjects

Earth sciences -- Data processing Geophysics -- Data processing Python (Computer program language)

Writers

Trauth, Martin H.

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