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Title:           Building(s and) cities: Delineating urban areas with a machine learning algorithm
Subject:         Journal of Urban Economics, 125 (2021) 103217. doi:10.1016/j.jue.2019.103217
Keywords:        "Buildings"; "Urban areas"; "City size"; "Transportation"; "Machine learning"
Author:          Daniel Arribas-Bel
Creator:         Elsevier
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     Item: 
      Title: Building(s and) cities: Delineating urban areas with a machine learning algorithm
      Destination: chapter..1
      Children: 
       Item: 
        Title: 1 Introduction
        Destination: section..1
       Item: 
        Title: 2 Data
        Destination: section..2
       Item: 
        Title: 3 Delineating urban areas with buildings and a machine learning algorithm
        Destination: section..3
       Item: 
        Title: 4 Urban areas in Spain
        Destination: section..4
        Children: 
         Item: 
          Title: 4.1 Main results
          Destination: subsection..4.1
         Item: 
          Title: 4.2 Identifying employment centers within the urban areas
          Destination: subsection..4.2
       Item: 
        Title: 5 Comparing our delineated urban areas
        Destination: section..5
        Children: 
         Item: 
          Title: 5.1 Rand index and overlapping
          Destination: subsection..5.1
         Item: 
          Title: 5.2 City size distribution
          Destination: subsection..5.2
         Item: 
          Title: 5.3 City size and transportation
          Destination: subsection..5.3
       Item: 
        Title: 6 Conclusions
        Destination: section..6
       Item: 
        Title: Acknowlgedgments
        Destination: section..7
       Item: 
        Title: Appendix A The A-DBSCAN algorithm: Technical details
        Destination: section..8
       Item: 
        Title: Appendix B The A-DBSCAN with different distance thresholds (ϵ)
        Destination: section..9
       Item: 
        Title: Appendix C Control variables and summary statistics
        Destination: section..10
       Item: 
        Title: References
        Destination: section..11
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  Checksum: e16d2191
   Type: CRC32
  Checksum: 9b3acea2b51a0a218167309a1972ab1f
   Type: MD5
  Checksum: aa60e362ae9c151b1ab6dae6f7555e72410afb88
   Type: SHA-1
  Checksum: 616ecbc59cf88515158fe8c0de38555f0183fab2d7b490f27282313e00686ba7
   Type: SHA-256