Comprehensive Python data analysis methods for geosciences: Enables geoscientists to apply statistical and signal processing techniques to their data
Case studies and code examples: Provides hands-on learning with real-world Earth science datasets
Online GitHub repository: Offers access to working code for further exploration and reuse
Coverage of multiple data types: Includes analysis of time series, spatial, directional, and image data
Educational value: Supports teaching and learning in geoscience data analysis
Summarized by Shop
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 multi
Format
E-Book
Language
English
Content
Data analysis methods for geosciences
Code Repository
Available online via GitHub
Examples
Included for univariate, bivariate, multivariate, time series, signal processing, spatial, and image data