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  • 标题:SPATIAL VARIATION ANALYSIS OF LOCAL POPULATION DATA AND LOCAL HOUSEHOLD-SIZE DATA FOR URBAN MANAGEMENT IN A DECLINING POPULATION
  • 本地全文:下载
  • 作者:K. Kumagai ; S. Tsukamoto ; H. Tokoi
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2022
  • 卷号:V-4-2022
  • 页码:283-291
  • DOI:10.5194/isprs-annals-V-4-2022-283-2022
  • 语种:English
  • 出版社:Copernicus Publications
  • 摘要:In Japan, population decline is one of the important issues that need to be tackled in socioeconomic fields. We apply an analysis method composed of a spatial autocorrelation analysis to the local population data and the local household-size data generated through the 1995 and 2015 national census, and detect their spatial dynamics in this study. Under the concept that the application of local population and local household can detect the details of the spatial features of population decline, we newly define an index regarding the size of an area where lower local mean sizes of households are distributed in urbanized areas, in addition to the spatial local-population index defined previously. It is shown that the local population dynamics are described by the combination of the variations of the 2 indices between 1995 and 2015.
  • 关键词:Local population dynamics; Population Decline; Local Household Size; Urban Spongification; Spatial Autocorrelation
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