Spatial Predictive Modelling with R. (2022)

• Record Type: Book
• Other Names: Li, Jin
• Contents: 1. Data acquisition, data quality control and spatial reference systems2. Predictive variables and exploratory analysis3. Model evaluation and validation4. Mathematical spatial interpolation methods5. Univariate geostatistical methods6. Multivariate geostatistical methods7. Modern statistical methods8. Tree-based machine learning methods9. Support vector machine10. Hybrids of modern statistical methods with mathematical and univariate geostatistical methods11. Hybrids of machine learning methods with mathematical and univariate geostatistical methods12. Applications and comparisons of spatial predictive methodsAppendix A. Data sets used in this book
• Publisher Details: Place of publication not identified : Chapman and Hall/CRC
• Publication Date: 2022
• Extent: 1 online resource (416 pages)
• Subjects: 003.3; Computer simulation; R (Computer program language); Computer Simulation; Simulation par ordinateur; R (Langage de programmation); simulation; MATHEMATICS -- Probability & Statistics -- Regression Analysis; Computer simulation; R (Computer program language); Electronic books; Electronic books
• Languages: English
• ISBNs: 9781003091776; 1003091776; 9781000542639; 1000542637; 9781000542608; 1000542602
• Related ISBNs: 9780367550547; 9780367550561
• Notes: Note: Includes bibliographical references and index.; Note: Vendor-supplied metadata.
• 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.