- Analyses real data sets from start to conclusion.

- Includes an extensive set of examples of the use of R to construct graphs and maps and to model and analyze spatial data.

- Provides background information on exploratory and graphical data analysis and on spatial econometrics methods.

- Lists the possible types of spatial data used to analyze and model agriculture economics phenomena (and offers several codes for each example in the R software environment).

- Presents the methods of spatial data analysis and of spatial econometric modeling appropriate for each agricultural data type.

- Examines how each spatial data type can be used to explore spatial structures and how the spatial effects can be properly added to agricultural economics models.

- Outlines methods for model estimation when data is not available for the whole population but for a sample survey.

- Illustrates the simplest and more sophisticated methods both to convert data from one type to another and to integrate different spatial data sources.