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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Population changes in residential clusters in Japan.
Takuya Sekiguchi1,2, Kohei Tamura3, Naoki Masuda4
1National Institute of Informatics, Chiyoda-ku, Tokyo, Japan.
Plos One
|May 10, 2018
Summary
Residential cluster shape and internal population distribution significantly influence population growth rates in Japan. Rounder clusters with central population concentration show higher growth, impacting urban and rural dynamics.
Area of Science:
- Urban and rural studies
- Population geography
- Socioeconomic analysis
Background:
- Population dynamics differ between urban and rural settings.
- Understanding local population changes has significant socioeconomic and political implications.
- Previous studies often overlook the impact of spatial configuration on population growth.
Purpose of the Study:
- To investigate the factors contributing to population growth in Japanese residential clusters.
- To analyze population dynamics using high-resolution census data.
- To identify the relationship between cluster shape, internal distribution, and population growth rate.
Main Methods:
- Utilized high-resolution (500 × 500 m2) Japanese population census data from 2005-2010.
- Employed statistical analysis to examine population changes in residential clusters.
- Investigated the influence of cluster area, population density, age, shape, and spatial distribution on growth rates.
Main Results:
- Found that cluster shape and spatial distribution of inhabitants are significant predictors of population growth rate.
- Observed that 'round' shaped clusters with centrally concentrated populations tend to exhibit higher population growth.
- Confirmed the influence of area, population density, and age on population dynamics.
Conclusions:
- Cluster morphology and internal spatial arrangement are critical, often overlooked, factors in population growth.
- Future research should integrate findings with migration, terrain, and transportation infrastructure for a comprehensive understanding.
- The study provides a novel framework for analyzing population dynamics at a granular level.
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