Models for Ecological Data: An Introduction

better understand the content of that chapter and thus can be good candidates for assignments. Overall, this book provides a comprehensive summary of model-based geostatistics. It is easy to follow even without a very strong statistical background. It allows readers to quickly carry out data analysis with the free software R, and it does not overlap much with other spatial statistical books. In addition, the book is offered at a reasonable price. I strongly recommend that this book be on the shelf of all researchers, scientists, and graduate students who are interested in or currently working on geostatistical data.