Jerry Davis

Introduction to Environmental Data Science (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 402
• Erscheinungstermin: 13. März 2023
• Englisch
• ISBN-13: 9781000842272
• Artikelnr.: 67419495

Autorenporträt

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.

Inhaltsangabe

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