Table of Contents: Spatial data analysis in ecology and agriculture using R

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Spatial data analysis in ecology and agriculture using R

Bibliographic Details
Main Author:	Plant, Richard E.
Format:	Electronic
Language:	English
Published:	Boca Raton, Fla. : CRC Press, 2012.
Subjects:	Agriculture > Statistical methods. Spatial analysis (Statistics) R (Computer program language) Electronic books.
Online Access:	Distributed by publisher. Purchase or institutional license may be required for access.

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.