Spatial Econometric Methods in Agricultural Economics Using R

Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The developments in GIS technology offer growing opportunities to agricultural economics analysts dealing with large and detailed spatial databases, allowing them to combine spatial information from different sources and to produce different models. The availability of these valuable sources of information makes the advanced models suggested in the spatial statistic and econometric literature applicable to agricultural economics.

This book aims at supporting stakeholders to design spatial surveys for agricultural data and/or to analyse the geographically collected data.

This book attempts to describe the main typology of agricultural data and the most appropriate methods for the analysis, together with a detailed description of the available data sources and their collection methods. Topics such as spatial interpolation, point patterns, spatial autocorrelation, survey data analysis, small area estimation, regional data modelling, and spatial econometrics techniques are covered jointly with issues arising from the integration of several data types.

The theory of spatial methods is complemented by real and/or simulated examples implemented through the open-source software R.

現代工具，如地理資訊系統（GIS）和遙感技術，越來越多地用於農業資源監測。GIS技術的發展為處理大型和詳細的空間數據庫的農業經濟分析師提供了不斷增長的機會，使他們能夠結合來自不同來源的空間信息並生成不同的模型。這些寶貴信息來源的可用性使得空間統計和計量文獻中提出的先進模型適用於農業經濟學。

本書旨在支持利益相關者設計農業數據的空間調查和/或分析地理收集的數據。

本書試圖描述農業數據的主要類型以及最適合的分析方法，並詳細介紹可用的數據來源及其收集方法。同時還涵蓋了空間插值、點模式、空間自相關、調查數據分析、小區域估計、區域數據建模和空間計量技術等主題，以及由多種數據類型整合引起的問題。

空間方法的理論還通過開源軟件R實施了真實和/或模擬的示例。

Paolo Postiglione is Professor in Economic Statistics at University of Chieti-Pescara (Italy). He received a Ph.D. in Statistics from the University of Chieti-Pescara in 1998. His research interests mainly concern regional quantitative analysis, spatial statistics and econometrics, spatial concentration, regional economic convergence, agricultural statistics, and spatial sampling.

Roberto Benedetti is Professor in Economic Statistics at University of Chieti-Pescara (Italy). He obtained a Ph.D. in Methodological Statistics in 1994 from "La Sapienza" University of Rome (Italy). His current research interests focus on agricultural statistics, sample design, small area estimation, and spatial data analysis.

Federica Piersimoni is Senior Researcher at Processes Design and Frames Service in the Methodological Department of the Italian National Statistical Institute, since 1996. Her main research interests concern disclosure control and sample design.

Paolo Postiglione是意大利基耶蒂-佩斯卡拉大學的經濟統計學教授。他於1998年從該大學獲得統計學博士學位。他的研究興趣主要涉及區域量化分析、空間統計學和計量經濟學、空間集中、區域經濟趨同、農業統計和空間抽樣。

Roberto Benedetti是意大利基耶蒂-佩斯卡拉大學的經濟統計學教授。他於1994年從羅馬拉斯佩齊亞大學獲得方法統計學博士學位。他目前的研究興趣集中在農業統計、樣本設計、小區域估計和空間數據分析。

Federica Piersimoni自1996年以來一直在意大利國家統計研究所方法學部門的流程設計和框架服務中擔任高級研究員。她的主要研究興趣涉及數據披露控制和樣本設計。