Introduction to Environmental Data Science

ISBN-13: 9781032322186 / Angielski / Twarda / 2023 / 399 str.

San Jerry (Professor of Geography and Environmental Science

Opis

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.

Spis treści

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

O autorze

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.