The methods and techniques presented in this book are focused on spatial data and its use in monitoring agricultural resources, farm management, and regional markets. Spatial econometrics models are introduced for different data types relevant to the statistical units adopted in agricultural economics analyses. The theory and procedures of each model are described in a simple, intuitive way and complemented by examples of real data developed using R software. The combined use of statistical methods, new technologies, and economic theory is treated with particular reference to the peculiarities of spatial data for a proper and efficient analysis of agricultural data sets.
Basic Concepts. DATA COLLECTED ON UNITS DEFINED ON PHYSICAL BASIS. Preliminaries. Spatial Data Surveys. Spatial Prediction of Agricultural Data. Land Use Analysis and Modelling. FARM ECONOMICS DATA. Preliminaries. Farm Surveys. Modeling the Farms Spatial Distribution. Spatial Analysis of Farm Data. AGGREGATED REGIONAL AGRICULTURAL DATA. Preliminaries. Small Area Estimation and Areal Interpolation. Regression Models with Regional Data. Spatial Models for Regional Agricultural Data.