This is the kind of good book that gives an overview of applications in spatial statistics. It obviously lacks - since it's not a math/stats book - theorems, proofs, and demonstrations, but it does have essential ideas and explores the subject in a very friendly language. If you are in social sciences, don't loose it. If you are in stats, buy some spatial statistics book (Cressie's, for example), and read them together.



Chapter 2 has been written very carefully, and gives the reader important ideas about risk, rate estimation, and the different kinds of data result from different experimental designs. If you bought 'that' spatial stats book, don't bother about chapter 3.



Chapter 4 gives (again) a very careful description, in this case about graphics and spatial data presentation. I'd say it does the job.



From chapter 5 on, you'll need 'the other book' in order to understand what really is at stake.



It could be a little less expensive...

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