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Spatial Econometric Methods in Agricultural Economics Using R

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Spatial Econometric Methods in Agricultural Economics Using R
Περιγραφή: 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.
Συγγραφείς: Paolo Postiglione, Roberto Benedetti, Federica Piersimoni
Resource Type: eBook.
Θέματα: Econometrics, Spatial analysis (Statistics)--Data processing, Geography--Statistical methods, R (Computer program language), Agriculture--Economic aspects--Mathematical models
Categories: BUSINESS & ECONOMICS / Econometrics, BUSINESS & ECONOMICS / Industries / Agribusiness
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  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 2992553
RelevancyScore: 956
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 955.975708007813
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  Group: Ti
  Data: Spatial Econometric Methods in Agricultural Economics Using R
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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.
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  Data: <searchLink fieldCode="DE" term="%22Econometrics%22">Econometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+analysis+%28Statistics%29--Data+processing%22">Spatial analysis (Statistics)--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Geography--Statistical+methods%22">Geography--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Agriculture--Economic+aspects--Mathematical+models%22">Agriculture--Economic aspects--Mathematical models</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 338.102855133
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Econometrics
        Type: general
      – SubjectFull: Spatial analysis (Statistics)--Data processing
        Type: general
      – SubjectFull: Geography--Statistical methods
        Type: general
      – SubjectFull: R (Computer program language)
        Type: general
      – SubjectFull: Agriculture--Economic aspects--Mathematical models
        Type: general
    Titles:
      – TitleFull: Spatial Econometric Methods in Agricultural Economics Using R
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Paolo Postiglione
      – PersonEntity:
          Name:
            NameFull: Roberto Benedetti
      – PersonEntity:
          Name:
            NameFull: Federica Piersimoni
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            NameFull: Paolo Postiglione
      – PersonEntity:
          Name:
            NameFull: Roberto Benedetti
      – PersonEntity:
          Name:
            NameFull: Federica Piersimoni
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 26
              M: 04
              Type: profile
              Y: 2022
          Identifiers:
            – Type: isbn-print
              Value: 9781032053707
            – Type: isbn-print
              Value: 9781498766814
            – Type: isbn-electronic
              Value: 9780429155628
            – Type: isbn-electronic
              Value: 9780429532061
            – Type: isbn-electronic
              Value: 9781498766838
          Titles:
            – TitleFull: Spatial Econometric Methods in Agricultural Economics Using R
              Type: main
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