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Analysis of Change in the Population Distribution Based on Spatial Relationship Using the Sphere of Influence

KIM HOYONG 1

1부산대학교

Accredited

ABSTRACT

Recently, there has been a wide range of research in space by introducing the concept of spatial relationship such as spatial autocorrelation. It is very important to set a spatial-weighted value according to the analysis target since spatial effects differ due to a variable affecting space in the study of applying spatial relationship. It is, however, as a matter of fact that researches with regard to setting methods and usefulness of spatial-weighted values fit for the analytic purpose lack. Accordingly, this study presented an appropriate model for analyzing the population distribution change and spatial-weighted value setting by applying the concept of spatial relationship. The results from the analysis using the population data collected every 5 years for 50 years since 1970 interpreted the population distribution change as well as exploring urban planning backgrounds including a large scale development affecting chronological population change. In order to interpret population change and spatial relationship, Anselin’s local Moran’s I model useful for spatial cluster and outlier analysis and spatial-weighted value methods for the sphere of influence type regarding the spatial distribution characteristics of accumulation unit and applying the reaching distance of influence from each respective unit were well-suited.

Citation status

* References for papers published after 2022 are currently being built.