Spatial Econometric Methods in Agricultural Economics Using R
暫譯: 使用 R 的農業經濟學空間計量經濟方法
Postiglione, Paolo
- 出版商: CRC
- 出版日期: 2023-02-15
- 售價: $2,190
- 貴賓價: 9.5 折 $2,081
- 語言: 英文
- 頁數: 280
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032053704
- ISBN-13: 9781032053707
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相關分類:
經濟學 Economy
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
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的監測。GIS技術的發展為處理大型且詳細的空間數據庫的農業經濟學分析師提供了越來越多的機會，使他們能夠結合來自不同來源的空間資訊並產生不同的模型。這些寶貴資訊來源的可用性使得空間統計和計量經濟學文獻中建議的先進模型能夠應用於農業經濟學。
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及其最適合的分析方法，並詳細描述可用數據來源及其收集方法。涵蓋的主題包括空間插值、點模式、空間自相關、調查數據分析、小區域估計、區域數據建模以及空間計量經濟學技術，並共同探討整合多種數據類型所產生的問題。
空間方法的理論通過使用開源軟體R實現的真實和/或模擬範例得以補充。
作者簡介
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.
作者簡介(中文翻譯)
保羅·波斯提利奧尼是意大利基耶蒂-佩斯卡拉大學的經濟統計學教授。他於1998年在基耶蒂-佩斯卡拉大學獲得統計學博士學位。他的研究興趣主要涉及區域定量分析、空間統計學和計量經濟學、空間集中、區域經濟收斂、農業統計學以及空間抽樣。
羅伯托·貝內代蒂是意大利基耶蒂-佩斯卡拉大學的經濟統計學教授。他於1994年在羅馬大學（意大利）的「拉薩比恩扎」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學、樣本設計、小區域估計和空間數據分析。
費德里卡·皮爾西莫尼自1996年以來擔任意大利國家統計局方法學部的過程設計與框架服務的高級研究員。她的主要研究興趣涉及資料揭露控制和樣本設計。
