Spatial Data Analysis in Ecology and Agriculture using R

Published by CRC Press

The original motivation for writing this book came from my observation that researchers in precision agriculture (myself included) were spending too much time trying to tell farmers how to use the tools of spatial data analysis to manage their crops, and too little time using these tools to improve the scope and precision of their own research. Because much of spatial data is observational, the book focuses on the analysis of observational data rather than data arising from planned experiments. As a consequence, some topics normally included in a statistics book are either excluded or given short shrift. Prominent among these is ANOVA, which is only covered briefly in a later chapter. Also, while the analysis of data from planned experiments typically follows a fairly linear recipe, the analysis of observational data is often much more organic, with lots of detours and blind alleys. This can be disconcerting if you are not expecting it, and I have tried to provide a sense of this experience by including a few blind alleys and detours in the book itself.

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