Statistics and data visualization in climate science with R and Python / Samuel S. P. Shen, San Diego State University, Gerald R. North, Texas A&M University.
"A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and computing tools for the climate and related sciences. This book is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York :
Cambridge University Press,
2023.
|
| Subjects: |
Table of Contents:
- Basics of climate data arrays, statistics, and visualization
- Elementary probability and statistics
- Estimation and decision making
- Regression models and methods
- Matrices for climate data
- Covariance matrices, EOFs, and PCs
- Introduction to time series
- Spectral analysis of time series
- Introduction to machine learning.