Spatial Econometric Methods in Agricultural Economics Using R

ISBN-13: 9781032053707 / Angielski / Miękka / 2023 / 280 str.

Paolo Postiglione; Roberto Benedetti; Federica Piersimoni

Opis

The book describes methods and techniques of spatial data and its use in monitoring agricultural resources, farms management and regional markets. Spatial econometrics models for different data types relevant to statistical units adopted in typical agricultural economics analyses, are introduced.

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