R Applications in Earth Sciences From Soil Data to Climate Time Series Analysis and Modeling /
This textbook helps to understand the real Earth data with the practical application of many handy R tools and techniques. R language and thousands of R packages can be used to solve the most sophisticated scientific problems. The book provides insights to the various approaches to Earth-related dat...
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| 企业作者: | |
| 格式: | 电子 电子书 |
| 语言: | 英语 |
| 出版: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| 版: | 1st ed. 2025. |
| 丛编: | Springer Textbooks in Earth Sciences, Geography and Environment,
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| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-3-031-89673-6 |
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书本目录:
- Chapter 1: Introduction
- Chapter 2: R for data science – Functionality and basic concepts
- Chapter 3: Soil data structure, properties, and visualization
- Chapter 4: Geochemistry of fossil deposits and climate reconstructions based on proxy data
- Chapter 5: Climate time series
- Chapter 6: Geomorphic data and geomorphometry analyses
- Chapter 7: Dating the past with the radiocarbon method
- Chapter 8: Global tectonics and earthquake dynamics – From data to visualization
- Chapter 9: Land and forest cover change mapping
- Chapter 10: Extreme climate event modeling and prediction with machine learning methods
- Chapter 11: Knowledge in the cloud – LiDAR point cloud data
- Chapter 12: Dynamic visualization and animation
- Chapter 13: Final comments, conclusions, and data science perspective.