Statistics and data visualization in climate science with R and Python
A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and modern computing tools for the climate sciences and many others such as geography and environmental engineering. It is an invaluable reference for students and researchers in climatology a...
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge ; New York
Cambridge University Press
2023
|
| Subjects: | |
| Online Access: | |
| Collection: | Cambridge Books Online - Collection details see MPG.ReNa |
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