Books on spatial data analysis:

Schabenberger and Gotway, 2005. Statistical Methods for Spatial
Data Analysis (on reserve in Parks library) has all the details and
many derivations of results presented in class. I'll refer to that as
S&G in these notes

Diggle, P.J. 2014. Statistical Analysis of Spatial and Spatio-Temporal Point Patterns. 3rd ed.,
CRC Press. The best single volume on spatial point pattern analysis. Sometimes very succinct.

Webster, R. and Oliver, M.A. 2007. Geostatistics for Environmental Scientists, 2nd 3d.
Wiley. This is where I go for advice on practical issues in geostatistics. The authors
focus on soil properties. Also the best source of information about sampling to
estimate the variogram.

Brundson, C. and Comber, L. 2015. An Introduction to R for Spatial Analysis and Mapping.
Sage Publications. Quick intro to many topics with R code. Emphasis on using R as a GIS.

LeSage, J. and Pace, R.K. 2009. Introduction to Spatial Econometrics. CRC Press. Overview of
autoregressive approaches to spatial regression and ANOVA (SAR models).

Randomization tests and the bootstrap:

- Manly, B.F.G. 2006. Randomization, Bootstrap and Monte Carlo
Methods in Biology. 3rd ed. CRC Press.

Book length treatment of randomization tests and related techniques, with biological examples from many fields. - Good, P. 2004/2010. Permutation, parametric, and bootstrap tests of
hypotheses. Springer

This is the 3rd edition with a different title than the 1st ed. Includes theory of why randomization / permutation tests work. Chapter 13 on Publishing your results is very readable and useful advice. - Dixon, P.M., 2001. The bootstrap. The encyclopedia article I wrote about the bootstrap.

Reporting the appropriate number of digits:

- Kelley, T.L. 1924. How many figures are significant? SCIENCE 60:524.

Note: Probable error is an old name for 2/3 what is now called the standard error. - Terman, G.L. 1978. Comments on significant figures in relation to
experimental errors. AGRONOMY JOURNAL 70:519-520.

Suggests rounding "treatments means to 10% of their standard errors".