Amazon cover image
Image from Amazon.com

Spatial data analysis in ecology and agriculture using R [electronic resource] / Richard E. Plant.

By: Plant, Richard EMaterial type: TextTextPublication details: Boca Raton, Fla. : CRC Press, 2012. Description: xv, 631 p. : ill., mapsISBN: 9781439819142 (ebook : PDF)Subject(s): Agriculture -- Statistical methods | Spatial analysis (Statistics) | R (Computer program language)Genre/Form: Electronic books.Additional physical formats: No titleOnline resources: Click here to access online Also available in print edition.
Contents:
1. Working with spatial data -- 2. R programming environment -- 3. Statistical properties of spatially autocorrelated data -- 4. Measures of spatial autocorrelation -- 5. Sampling and data collection -- 6. Preparing spatial data for analysis -- 7. Preliminary exploration of spatial data -- 8. Multivariate methods for spatial data exploration -- 9. Spatial data exploration via multiple regression -- 10. Variance estimation, the effective sample size, and the bootstrap -- 11. Measures of bivariate association between two spatial variables -- 12. Mixed model -- 13. Regression models for spatially autocorrelated data -- 14. Bayesian analysis of spatially autocorrelated data -- 15. Analysis of spatiotemporal data -- 16. Analysis of data from controlled experiments -- 17. Assembling conclusions.
Item type:
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references (p. 599-617) and index.

1. Working with spatial data -- 2. R programming environment -- 3. Statistical properties of spatially autocorrelated data -- 4. Measures of spatial autocorrelation -- 5. Sampling and data collection -- 6. Preparing spatial data for analysis -- 7. Preliminary exploration of spatial data -- 8. Multivariate methods for spatial data exploration -- 9. Spatial data exploration via multiple regression -- 10. Variance estimation, the effective sample size, and the bootstrap -- 11. Measures of bivariate association between two spatial variables -- 12. Mixed model -- 13. Regression models for spatially autocorrelated data -- 14. Bayesian analysis of spatially autocorrelated data -- 15. Analysis of spatiotemporal data -- 16. Analysis of data from controlled experiments -- 17. Assembling conclusions.

Also available in print edition.

Mode of access: World Wide Web.

There are no comments on this title.

to post a comment.

Powered by Koha