Python Recipes for Earth Sciences / Martin H. Trauth / Londres : Springer (2022)   

Public ISBD Titre : Python Recipes for Earth Sciences Type de document : texte imprimé Auteurs : Martin H. Trauth, Auteur Editeur : Londres : Springer Année de publication : 2022 Importance : 1 vol. (453 p.) Présentation : ill.en coul. Format : 25 cm ISBN/ISSN/EAN : 978-3-031-07718-0 Langues : Français Catégories : Géologie - Pédologie - Biogéographie Mots-clés : science de la Terre  Python Index. décimale : 550 Sciences de la Terre Résumé : 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. Note de contenu : Sommaire: -1- Data Analysis in the Earth Sciences -2- Introduction to Python -3- Univariate Statistics -4- Bivariate Statistics -5- Time Series Analysis -6- Signal Processing -7- Spatial Data -8- Image Processing -9- Multivariate Statistics -10-Directional Data Python Recipes for Earth Sciences [texte imprimé] / Martin H. Trauth, Auteur . - Londres : Springer, 2022 . - 1 vol. (453 p.) : ill.en coul. ; 25 cm. ISBN : 978-3-031-07718-0 Langues : Français Catégories : Géologie - Pédologie - Biogéographie Mots-clés : science de la Terre  Python Index. décimale : 550 Sciences de la Terre Résumé : 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. Note de contenu : Sommaire: -1- Data Analysis in the Earth Sciences -2- Introduction to Python -3- Univariate Statistics -4- Bivariate Statistics -5- Time Series Analysis -6- Signal Processing -7- Spatial Data -8- Image Processing -9- Multivariate Statistics -10-Directional Data

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité
FB/15916	SNV8/1869	Livre	Bibliothèque SNV	Englais	Disponible
FB/15917	SNV8/1869	Livre	Bibliothèque SNV	Englais	Disponible

Documents numériques

https://www.amazon.com/Sciences-Springer-Textbooks-Geography-Environment/dp/3031077180 URL

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