Introduction to environmental data science. (2023)

• Record Type: Book
• Further Information: Note: Jerry D. Davis.
• Authors: Davis, Jerry D
• 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
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2023
• Extent: 1 online resource (399 pages), illustrations (black and white, and colour)
• Subjects: 363.700285; Environmental sciences -- Data processing; R (Computer program language)
• Languages: English
• ISBNs: 9781000842418; 9781000842272
• Related ISBNs: 9781032322186
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.