- 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.
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