Spatial data analysis in ecology and agriculture using R

Saved in:

Bibliographic Details
Main Author	Plant, Richard E.
Format	eBook
Language	English
Published	Boca Raton, Fla. : CRC Press, 2012.
Subjects	Agriculture > Statistical methods. Spatial analysis (Statistics) R (Computer program language) elektronické knihy electronic books
Online Access	Full text
ISBN	9781439819142
Physical Description	xv, 631 p. : ill., maps.

Cover

Table of 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.