Geographic data science with Python. (2023)

• Record Type: Book
• Further Information: Note: By Sergio Rey, Dani Arribas-Bel and Levi John Wolf.
• Authors: Rey, Sergio J (Sergio Joseph); Arribas-Bel, Dani; Wolf, Levi John
• Contents: Part 1. Building Blocks 1. Geographic thinking for data scientists 2. Computational Tools for Geographic Data Science 3. Spatial Data 4. Spatial Weights Part 2. Spatial Data Analysis 5. Choropleth Mapping 6. Global Spatial Autocorrelation 7. Local Spatial Autocorrelation 8. Point Pattern Analysis Part 3. Advanced Topics 9. Spatial Inequality Dynamics 10. Clustering & Regionalization 11. Spatial Regression 12. Spatial Feature Engineering
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2023
• Extent: 1 online resource (393 pages), illustrations (black and white, and colour)
• Subjects: 910.285; Geospatial data -- Computer processing; Python (Computer program language)
• Languages: English
• ISBNs: 9781000885279; 9781000885224
• Related ISBNs: 9780367263119; 9781032445953
• 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.