Spatial Econometric Methods in Agricultural Economics Using R

ISBN-13: 9781498766814 / Angielski / Twarda / 2021 / 280 str.

Paolo Postiglione (University of Chieti-;Roberto Benedetti (University of Chieti-; Agricultural Federica Piersimoni (ISTAT

Opis

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.

Spis treści

1. Basic Concepts  2. Spatial Sampling Designs  3. Including Spatial Information in Estimation from Complex Survey Data  4. Yield Prediction in Agriculture: A Comparison Between Regression Kriging and Random Forest  5. Land Cover/Use Analysis and Modelling  6. Statistical Systems in Agriculture  7. Exploring Spatial Point Patterns in Agriculture  8. Spatial Analysis of Farm Data  9. Spatial Econometric Modelling of Farm Data  10. Areal Interpolation Methods: The Bayesian Interpolation Method  11. Small Area Estimation of Agricultural Data  12. Cross-sectional Spatial Regression Models for Measuring Agricultural β-convergence  13. Spatial Panel Regression Models in Agriculture