Data Analysis Methods in Physical Oceanography

Fourth Edition de

,

Éditeur :

Elsevier Science


Paru le : 2024-07-16

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈 ebook sans DRM
Lecture en ligne (streaming)
54,81

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

Data Analysis Methods in Physical Oceanography, Fourth Edition provides a practical reference to established and modern data analysis techniques in earth and ocean sciences. In five sections, the book addresses data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. The updated edition includes new information on autonomous platforms and new analysis tools such as “deep learning? and convolutional neural networks. A section on extreme value statistics has been added, and the section on wavelet analysis has been expanded.
This book brings together relevant techniques and references recent papers where these techniques have been trialed. In addition, it presents valuable examples using physical oceanography data. For students, the sections on data acquisition are useful for a compilation of all the measurement methods.Includes content co-authored by scientists from academia and industry, both of whom have more than 30 years of experience in oceanographic research and field workProvides boxed worked examples that address typical data analysis problems, including examples with computer code (e.g., python code, MATLAB code)Presents brief summaries at the end of the more difficult sections to help readers looking for foundational information

Elsevier Science & Technology
Pages
800 pages
Collection
n.c
Parution
2024-07-16
Marque
Elsevier Science
EAN papier
9780323917230
EAN PDF
9780323993135

Informations sur l'ebook
Nombre pages copiables
80
Nombre pages imprimables
80
Taille du fichier
34775 Ko
Prix
54,81 €
EAN EPUB SANS DRM
9780323993135

Informations sur l'ebook
Prix
54,81 €

Suggestions personnalisées