• Journal of Agricultural Extension & Community Development
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• v.26 no.2
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• pp.99-111
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• 2019

This paper aims to analysize the regional disparity of rural life service. In other words, analyzing the spatial distribution of the single-households elderly and service accessibility to public transportation, and the relationship between them in rural. The results of this study are as follows. First, there is a high concentration of the single-households elderly in Gyeongsangbuk-do and Jeollanam-do, and the distribution of them shows a tendency to cluster locally. Second, the vulnerability area of public transportation are concentrated on the myeon area. Third, The above-average proportion of vulnerable single-households elderly in Gyeongsangbuk-do and Jeollanam-do are concentrated on the myeon area. This result show that there is a positive correlation and high values are concentrated. This paper is expected to contribute to the regional development projects and effective implementation of rural polices.

• Spatial Information Research
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• v.22 no.3
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• pp.35-46
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• 2014

Population data are usually provided at administrative spatial units in Korea, so areal interpolation is needed for fine-grained analysis. This study aims to compare various methods of areal interpolation for population subgroups rather than the total population. We estimated the number of elderly people and single-person households for small areal units from Dong data by the different interpolation methods using 2010 census data of Seoul, and compared the estimates to actual values. As a result, the performance of areal interpolation methods varied between the total population and subgroup populations as well as between different population subgroups. It turned out that the method using GWR (geographically weighted regression) and building type data outperformed other methods for the total population and households. However, the OLS regression method using building type data performed better for the elderly population, and the OLS regression method based on land use data was the most effective for single-person households. Based on these results, spatial distribution of the single elderly was represented at small areal units, and we believe that this approach can contribute to effective implementation of urban policies.