Introduction to environmental data science
Author(s)
Bibliographic Information
Introduction to environmental data science
（Chapman & Hall/CRC data science series）（A Chapman & Hall book）
CRC Press, 2023
- : hbk
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Note
Includes bibliographical references (p. 373-375) and index.
Description and Table of Contents
Description
* Gives thorough consideration of the needs for environmental research in both spatial and temporal domains.
* Features examples of applications involving field-collected data ranging from individual observations to data logging.
* Includes examples also of applications involving government and NGO sources, ranging from satellite imagery to environmental data collected by regulators such as EPA.
* Contains class-tested exercises in all chapters other than case studies. Solutions manual available for instructors.
* All examples and exercises make use of a GitHub package for functions and especially data.
Table of Contents
1. Background, Goals & Data Part 1: Exploratory Data Analysis 2. Introduction to R 3. Data Abstraction 4. Visualization 5. Data Transformation Part 2: Spatial 6. Spatial Data and Maps 7. Spatial Analysis 8. Raster Spatial Analysis 9. Spatial Interpolation Part 3: Statistics & Modeling 10. Statistical Summaries and Tests 11. Modeling 12. Imagery and Classification Models Part 4: Time Series 13. Time Series Visualization & Analysis Part 5: Communication and References 14. Communication with Shiny
by "Nielsen BookData"
