• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.721-734
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• 2012

The main purpose of this paper is to identify the characteristics of the private educational institute street in Pyengchon, Anyang-si by analyzing the locational determinants of private education institute, the spatial range of it educational service and the spatial behaviour of private education institute students. The research has concerned with the locational determinants of private educational institutes in Pyengchon. Its main locational determinants are a reputation as a region of private educational institution street, access to large residential areas and rents. Also, it has considered the spatial service range of private educational institutes. To this end, it divided private educational institutes into three hierarchies from first sized to third sized private educational institute. The educational service of first sized institutes delivers to within a 10km radius of them, including Suwon. In particular, the service of them is concentrated on within a 6km radius of them. The educational service of second and third sized institutes both delivers to within a 6km radius of them. The service of second sized one is concentrated on within a 2km radius of them, and third sized one is within a 1km radius of them. What is more, it has analyzed the spatial behaviour of private educational institute students.

• Korean Journal of Remote Sensing
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• v.37 no.5_3
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• pp.1461-1473
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• 2021

The purpose of this study is to ascertain how the level of resolution of land cover data affects on the local distribution and diffusion of fine dust. the CALPUFF model, which considers the spatio-temporal terrain conditions and changes in weather conditions, was used to estimate PM10 concentration in the Pyeongchon, Anyang-si, Gyeonggi-do. Three different resolutions of land cover data including 20 m, 50 m, and 100 m were compared as the input of the modeling. Using higher resolution land cover data (20 m), the wind speed of the simulated region was the largest and the PM10 concentration was the lowest. Through this study, we confirm that the resolution level of land-use/cover data can affect the local distribution and diffusion of fine dust, which can be detected by CALPUFF. Therefore, when using CALPUFF to simulate fine dust in the future, it can be suggested that checking the impact on spatial resolution according to the form of land cover in advance and proceeding with the simulation can achieve mote accurate results.