Introduction to Environmental Data Science: Chapman & Hall/CRC Data Science Series
Autor Jerry Davisen Limba Engleză Hardback – 13 mar 2023
Features
• 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.
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Specificații
ISBN-13: 9781032322186
ISBN-10: 1032322187
Pagini: 402
Ilustrații: 5 Tables, black and white; 103 Line drawings, color; 67 Line drawings, black and white; 82 Halftones, color; 9 Halftones, black and white; 185 Illustrations, color; 76 Illustrations, black and white
Dimensiuni: 178 x 254 x 24 mm
Greutate: 0.92 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Data Science Series
ISBN-10: 1032322187
Pagini: 402
Ilustrații: 5 Tables, black and white; 103 Line drawings, color; 67 Line drawings, black and white; 82 Halftones, color; 9 Halftones, black and white; 185 Illustrations, color; 76 Illustrations, black and white
Dimensiuni: 178 x 254 x 24 mm
Greutate: 0.92 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Data Science Series
Cuprins
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
Notă biografică
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.
Descriere
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.