The Spatial Autocorrelation Problem In Spatial Interaction Modelling
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The Spatial Autocorrelation Problem In Spatial Interaction Modelling
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Author : Daniel A. Griffith
language : en
Publisher:
Release Date : 2017
The Spatial Autocorrelation Problem In Spatial Interaction Modelling written by Daniel A. Griffith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Spatial interaction models of the gravity type are widely used to describe origin-destination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterize the origin region of interaction, variables that characterize the destination region of interaction, and variables that measure the separation between origin and destination regions. A violation of standard minimal assumptions for least squares estimation may be associated with two problems: spatial autocorrelation within the residuals, and spatial autocorrelation within explanatory variables. This paper compares a spatial econometric solution with the spatial statistical Moran eigenvector spatial filtering solution to accounting for spatial autocorrelation within model residuals. An example using patent citation data that capture knowledge flows across 257 European regions serves to illustrate the application of the two approaches.
Modelling Spatial Autocorrelation In Spatial Interaction Data
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Author : Manfred M. Fischer
language : en
Publisher:
Release Date : 2008
Modelling Spatial Autocorrelation In Spatial Interaction Data written by Manfred M. Fischer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Spatial interaction models of the gravity type are widely used to model origin-destination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterise an origin region of a flow, variables that characterise a destination region of a flow, and finally variables that measure the separation between origin and destination regions. This paper outlines and compares two approaches, the spatial econometric and the eigenfunction-based spatial filtering approach, to deal with the issue of spatial autocorrelation among flow residuals. An example using patent citation data that capture knowledge flows across 112 European regions serves to illustrate the application and the comparison of the two approaches.
Modeling And Simulation
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Author :
language : en
Publisher:
Release Date : 1984
Modeling And Simulation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Computer simulation categories.
Environment Planning
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Author :
language : en
Publisher:
Release Date : 1992
Environment Planning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with City planning categories.
Migration Models
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Author : John Stillwell
language : en
Publisher: Burns & Oates
Release Date : 1991
Migration Models written by John Stillwell and has been published by Burns & Oates this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Social Science categories.
Modeling Spatial Autocorrelation In Spatial Interaction Data
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Author : Manfred M. Fischer
language : en
Publisher:
Release Date : 2008
Modeling Spatial Autocorrelation In Spatial Interaction Data written by Manfred M. Fischer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Spatial interaction models of the gravity type are widely used to model origindestination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterize an origin region of a flow, variables that characterize a destination region of a flow, and finally variables that measure the separation between origin and destination regions. This paper outlines and compares two approaches, the spatial econometric and the eigenfunction-based spatial filtering approach, to deal with the issue of spatial autocorrelation among flow residuals. An example using patent citation data that capture knowledge flows across 112 European regions serves to illustrate the application and the comparison of the two approaches.
Metron
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Author :
language : en
Publisher:
Release Date : 1988
Metron written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Statistics categories.
Internationale Statistische Rundschau
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Author : Corrado Gini
language : en
Publisher:
Release Date : 1989
Internationale Statistische Rundschau written by Corrado Gini and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Statistics categories.
Rivista internazionale di statistica. Revue internationale de statistique. International journal of statistics ...
Future Trends In Geomathematics
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Author : Richard G. Craig
language : en
Publisher:
Release Date : 1981
Future Trends In Geomathematics written by Richard G. Craig and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Geography categories.
Social Sciences Index
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Author :
language : en
Publisher:
Release Date : 1991
Social Sciences Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Periodicals categories.