Mapping the DNA of Urban Neighborhoods: Clustering Longitudinal Sequences of Neighborhood Socioeconomic Change.

The spatial pattern of longitudinal trends in neighborhood socioeconomic dynamics has long been implied by traditional urban models dating back to the Chicago School; however, empirical studies beyond the mapping of change between two points in time are surprisingly limited. This article introduees...

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Published in:Annals of the American Association of Geographers Vol. 106; no. 1; pp. 36 - 57
Main Author: Delmelle, Elizabeth C.
Format: Article
Published: Taylor & Francis Ltd Jan2016
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Jan2016
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      pub: Taylor & Francis Ltd
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        113224930
        10.1080/00045608.2015.1096188
      ppf: 36
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      formats:
      tig:
        atl: Mapping the DNA of Urban Neighborhoods: Clustering Longitudinal Sequences of Neighborhood Socioeconomic Change.
      aug:
        au: Delmelle, Elizabeth C.
        affil: Department of Geography and Earth Sciences, University of North Carolina at Charlotte
      su:
        Neighborhood change
        Neighborhood planning
        History
        Neighborhoods -- History
        20th century urban planning
        Urban history
        History of Los Angeles, California
        History of Chicago (Ill.)
        Twentieth century
      sug:
        subj:
          Neighborhood change
          Neighborhood planning
          History
          Land Subdivision
          Administration of Urban Planning and Community and Rural Development
          Neighborhoods -- History
          20th century urban planning
          Urban history
          History of Los Angeles, California
          History of Chicago (Ill.)
          Twentieth century
      keyword:
        cluster analysis
        GIS
        neighborhood change
        sequential pattern analysis
        análisis de conglomerados
        análisis secuencial de patrones
        cambio vecinal
        SIG,
        análisis de conglomerados
        análisis secuencial de patrones
        cambio vecinal
        SIG
        地理信息系统
        序列模式分析
        邻里变迁
        集群分析
        cluster analysis
        GIS
        neighborhood change
        sequential pattern analysis
        análisis de conglomerados
        análisis secuencial de patrones
        cambio vecinal
        SIG,
        análisis de conglomerados
        análisis secuencial de patrones
        cambio vecinal
        SIG
        地理信息系统
        序列模式分析
        邻里变迁
        集群分析
      ab: The spatial pattern of longitudinal trends in neighborhood socioeconomic dynamics has long been implied by traditional urban models dating back to the Chicago School; however, empirical studies beyond the mapping of change between two points in time are surprisingly limited. This article introduees a methodology to the study of spatial-temporal patterns of neighborhood socioeconomic change. The approach first involves establishing discrete classes of neighborhoods following a k'means clustering pro cedure and then applies a sequential pattern mining algorithm to determine the similarity of longitudinal sequences. Sequences are then clustered to derive a typology of neighborhood trajectories. The method is employed in an empirical analysis of neighborhood change from 1970 to 2010 for all census tracts in the cities of Chicago and Los Angeles. In Chicago, this time period was marked by a sustained process of center city revitalization through two distinct upgrading processes, whereas in Los Angles, neighborhood upgrading largely came in the form of suburban upgrading. The spatial structure of neighborhood dynamics in Chicago resembled patterns described by Chicago School theorists, whereas the dynamics of Los Angeles deviated from this ordered regularity.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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