Introduction to Environmental Data Science

Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models and more.

List 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

About the author

Jerry Douglas Davis is a Professor of Geography & Environment (https://geog.sfsu.edu/) and the Director of the Institute for Geographic Information Science (https://gis.sfsu.edu/) at San Francisco State University, and borrows heavily from his and his students' field-based environmental research for examples in the book.

Summary

Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models and more.

Product details

• Authors: Jerry Davis, Jerry (Professor of Geography and Environme Davis, Davis Jerry
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 02.03.2023
• EAN: 9781032322186
• ISBN: 978-1-0-3232218-6
• No. of pages: 382
• Series: Chapman & Hall/CRC Data Science Series
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Business > General, dictionaries; BUSINESS & ECONOMICS / Statistics, MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics