Spatial Econometric Methods in Agricultural Economics Using R - Paolo Postiglione; Roberto Benedetti; Federica Piersimoni; | Foyles Bookstore
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Spatial Econometric Methods in Agricultural Economics Using R
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Spatial Econometric Methods in Agricultural Economics Using R (Paperback)

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- Analyses real data sets from start to conclusion.

- Includes an extensive set of examples of the use of R to construct graphs and maps and to model and analyze spatial data.

- Provides background information on exploratory and graphical data analysis and on spatial econometrics methods.

- Lists the possible types of spatial data used to analyze and model agriculture economics phenomena (and offers several codes for each example in the R software environment).

- Presents the methods of spatial data analysis and of spatial econometric modeling appropriate for each agricultural data type.

- Examines how each spatial data type can be used to explore spatial structures and how the spatial effects can be properly added to agricultural economics models.

- Outlines methods for model estimation when data is not available for the whole population but for a sample survey.

- Illustrates the simplest and more sophisticated methods both to convert data from one type to another and to integrate different spatial data sources.

BusinessIndustry & industrial studiesPrimary industriesAgriculture & related industriesNatural World & The EnvironmentAgriculture & farmingAgricultural scienceScience & MathematicsGeographyHuman geographyScience & MathematicsMathematicsProbability & statistics Publisher: Taylor & Francis Ltd Publication Date: 15/02/2023 ISBN-13: 9781032053707  Details: Type: Paperback Format: Books
Availability: Awaiting publication Pre-Order

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.

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