Spatial data analysis in ecology and agriculture using R. (©2012)

• Record Type: Book
• Further Information: Note: Richard E. Plant.
• Other Names: Plant, Richard E
• Contents: Working with spatial data -- R programming environment -- Statistical properties of spatially autocorrelated data -- Measures of spatial autocorrelation -- Sampling and data collection -- Preparing spatial data for analysis -- Preliminary exploration of spatial data -- Multivariate methods for spatial data exploration -- Spatial data exploration via multiple regression -- Variance estimation, the effective sample size, and the bootstrap -- Measures of bivariate association between two spatial variables -- Mixed model -- Regression models for spatially autocorrelated data -- Bayesian analysis of spatially autocorrelated data -- Analysis of spatiotemporal data -- Analysis of data from controlled experiements -- Assembling conclusions -- Appendix A: Review of mathematical concepts -- Appendix B: The data sets -- Appendix C: An R thesaurus.
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2012
• Copyright Date: 2012
• Extent: 1 online resource (xv, 631 pages), illustrations
• Subjects: 635.0727; Agriculture -- Statistical methods; Spatial analysis (Statistics); R (Computer program language); Agriculture -- Statistical methods; R (Computer program language); Spatial analysis (Statistics)
• Languages: English
• ISBNs: 9781466533516; 9781439819142; 1439819149
• Related ISBNs: 146653351X; 9781439819135; 1439819130
• Notes: Note: Includes bibliographical references (pages 599-617) and index.; Note: Print version record.
• 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.