ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-4-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 177–185, 2021
https://doi.org/10.5194/isprs-annals-V-4-2021-177-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 177–185, 2021
https://doi.org/10.5194/isprs-annals-V-4-2021-177-2021

  17 Jun 2021

17 Jun 2021

DETECTION OF THE SPATIAL VARIATIONS OF LOCAL POPULATIONS FROM THE VIEWPOINT OF URBAN STRUCTURE ANALYSIS

K. Kumagai and Y. Kameda K. Kumagai and Y. Kameda
  • Setsunan University, 17-8, Ikeda-Nakamachi, Neyagawa, Osaka 572-8508, Japan

Keywords: Local population dynamics, Population Decline, Densely Populated Area, Urban spongification, Spatial Autocorrelation

Abstract. 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 generated through the 1995 and 2015 national census, and try to detect their spatial dynamics in this study. Through making experimental verification of the distance parameter of the spatial autocorrelation analysis, we newly define 2 indices with respect to the size and area where lower local populations are distributed in urbanized areas. It is shown that the local population dynamics are described by the difference of the 2 indices among 1995 and 2015. The expansion of areas where local population decline occurred seems to be detected by our proposed approach.