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.