Spatial predictive modelling with R. (2022)

• Record Type: Book
• Further Information: Note: Jin Li.
• Authors: (Computer scientist), Li, Jin
• Contents: 1. Data acquisition, data quality control and spatial reference systems; 2. Predictive variables and exploratory analysis; 3. Model evaluation and validation; 4. Mathematical spatial interpolation methods; 5. Univariate geostatistical methods; 6. Multivariate geostatistical methods; 7. Modern statistical methods; 8. Tree-based machine learning methods; 9. Support vector machine; 10. Hybrids of modern statistical methods with mathematical and univariate geostatistical methods; 11. Hybrids of machine learning methods with mathematical and univariate geostatistical methods; 12. Applications and comparisons of spatial predictive methods; Appendix A. Data sets used in this book
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 001.422; Spatial analysis (Statistics); R (Computer program language)
• Languages: English
• ISBNs: 9781000542639; 9781000542608; 9781003091776
• Related ISBNs: 9780367550547
• Notes: 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.