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Regional Research Frontiers - Vol. 2

Overview of attention for book
Cover of 'Regional Research Frontiers - Vol. 2'

Table of Contents

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    Book Overview
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    Chapter 1 Dynamic Econometric Input-Output Modeling: New Perspectives
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    Chapter 2 Unraveling the Household Heterogeneity in Regional Economic Models: Some Important Challenges
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    Chapter 3 Geographical Macro and Regional Impact Modeling
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    Chapter 4 Computable General Equilibrium Modelling in Regional Science
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    Chapter 5 Measuring the Impact of Infrastructure Systems Using Computable General Equilibrium Models
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    Chapter 6 Potentials and Prospects for Micro–Macro Modelling in Regional Science
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    Chapter 7 On Deriving Reduced-Form Spatial Econometric Models from Theory and Their Ws from Observed Flows: Example Based on the Regional Knowledge Production Function
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    Chapter 8 At the Frontier Between Local and Global Interactions in Regional Sciences
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    Chapter 9 Hierarchical Spatial Econometric Models in Regional Science
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    Chapter 10 GIS in Regional Research
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    Chapter 11 Exploratory Spatial Data Analysis: Tight Coupling Data and Space, Spatial Data Mining, and Hypothesis Generation
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    Chapter 12 Location Analysis: Developments on the Horizon
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    Chapter 13 Structural Decomposition and Shift-Share Analyses: Let the Parallels Converge
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    Chapter 14 A Synthesis of Spatial Models for Multivariate Count Responses
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    Chapter 15 Modeling of Infectious Diseases: A Core Research Topic for the Next Hundred Years
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    Chapter 16 Object Orientation, Open Regional Science, and Cumulative Knowledge Building
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    Chapter 17 Looking at John Snow’s Cholera Map from the Twenty First Century: A Practical Primer on Reproducibility and Open Science
Overall attention for this book and its chapters
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9 tweeters
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1 Facebook page

Citations

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2 Dimensions

Readers on

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24 Mendeley
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Title
Regional Research Frontiers - Vol. 2
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-50590-9
ISBNs
978-3-31-950589-3, 978-3-31-950590-9
Editors

Randall Jackson, Peter Schaeffer

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 4%
Unknown 23 96%
Readers by discipline Count As %
Arts and Humanities 1 4%
Unknown 23 96%