Spatial Econometric Methods in Agricultural Economics Using R

- 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.