• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.791-802
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• 2021

In Korea, the cities continue to deteriorate, while the vacant houses in the small local towns emerge as a serious social problem. Despite the vacant houses emerge as a serious social problem in the small local towns as well as in the large cities, the basic researches into them are yet to be conducted on a full scale. Thus, in order to know about the spatial distribution of the vacant houses, this study conducted the square analysis and the kernel density analysis. As a result, it was confirmed that the vacant houses in Okcheon-gun had certain crowding forms and characteristics at the level of statistical significance. Next, in order to examine the distribution of the vacant houses in terms of the accessibility to the living SOC facilities, the GIS network analysis was performed, focusing on the major facilities and road networks. As a result, it was found that the better the accessibility to the living SOC facilities such as medical and well-being was, the ratio of the vacant houses was lower. In contrast, it was found that the accessibility to the obligatory facilities such as public administration and educational facilities did not have any important effects on the distribution of the vacant houses. All in all, through this study, the spatial distribution of the vacant houses in the small local town and their accessibility to the major SOC facilities could be analyzed.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.10a
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• pp.341-347
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• 2008

본 연구에서는 대전광역시를 대상으로 지가의 중심성을 측정 하고 분포특성을 파악하여 도시의 계획 및 관리방안을 모색하는데 필요한 기초자료로 제공하고자 한다. 지가분포에 대한 관련이론 및 선행연구를 통해 지가가 중심지에 미치는 영향을 고찰하였으며, 지가의 분포특성에 따라 중심지가 어떻게 분포 되어있는지를 파악할 수 있었다. 분석방법으로는 ArcGIS 9.2버전 Spatial Analysis를 사용하여 공간내삽(interpolation)을 통해 등치선도를 작성하여 시각화 하였으며, 축별 3차원 경향도면을 작성하여 중심지 범위를 파악하였다. 그 결과 대전광역시의 중심부이자 신시가지인 둔산지역과 구시가지인 은행동 지역이 중심지역으로 나왔으며, 이 외에 부도심지역인 유성과 신탄진 그리고 주거중심지역인 노은동으로 나타났다. 중심지 범위는 신시가지가 상당히 넓게 분포되어 있었으며, 그 외 지역은 좁게 분포되었다. 도시의 계획적 관리를 위해서는 매년 지가를 분석하여 모니터링을 한 후 야기된 문제점을 보완해야 할 것으로 사료된다. 향후 시계열적 분석을 통한 중심지의 과거 변화특성을 통해 미래의 문제점을 미리예측하고 예방할 수 있는 연구가 필요하다.

• Journal of Environmental Impact Assessment
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• v.27 no.6
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• pp.717-726
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• 2018

PM(Particulate Matter) cause serious diseases of air pollution. Most of the studies have analyzed local distribution trends using satellite images or modeling techniques. However,the method using the spatial interpolation method based on the meteorological value is insufficient in Korea. In this study, monthly spatial distribution of $PM_{10}$ and $PM_{2.5}$ in January, February, March, and April of 2018 Seoul Metropolitan City were analyzed based on 39 PM monitoring networks. In addition, a distribution map showing the difference between $PM_{10}$ and $PM_{2.5}$ was based on the distribution obtained through this study. The regions of high $PM_{10}$ and $PM_{2.5}$ emissions were selected. In addition, the correlation between $PM_{10}$ and $PM_{2.5}$ was confirmed through the distribution map. This study analyzed the spatial distribution variation results of analyzing $PM_{10}$ and $PM_{2.5}$ in Seoulthrough spatial analysis technique. As a result of this study, it was confirmed that $PM_{10}$ shows high measured value on the roadside measurement station.

• Spatial Information Research
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• v.12 no.2
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• pp.211-228
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• 2004

The purpose of this study is to analyze the sales area of gas stations to see the quality and the efficiencies of spatial distribution structure for petroleum products in Tae-jeon City. Location pattern of gas station is classified by factors of competitive facilities, transportation, population and landuse in Tae-jeon City. As a result, High profit pattern and low profit pattern is classified. The characteristics of the distribution pattern of gas station are that the while densely populated has a small sales area, the thinly populated region has huge ones. Location-allocation model is used in order to minimize the travel distance from consumer location to gas station and balance the spatial distribution of gas station in case studies. The result reveals that the model-based locations of gas stations are more dispersed and balanced in the whole Tae-jeon City compared with the actual location of gas stations. This study shows the characteristics and spatial distribution patterns of sales area and location in petroleum products distribution facilities.

• Journal of the Economic Geographical Society of Korea
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• v.5 no.1
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• pp.69-87
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• 2002

This study examines the spatial diffusion and locational charateristics of convenience stores in Daegu which had increased rapidly in the 1990s. The first convenience store (CVS) was introduced in the zone of transition of (Namgu district) adjacent to the city center or CBD in 1992. Thereafter they diffused into CBD and residential areas, but they have centered around places where their steady purchasing population was distributed. As a result, the spatial distribution of CVSs in Daegu shows a very uneven pattern concentrated in areas with many high school, in commercial and business areas, and apartment residential areas. It seems that this pattern is derived from two basic locational factors. Primarily, the location of CVSs in Daegu is very closely related with the spatial distribution of the demand population which will be clients for CVSs. Secondarily, it is also affected by the accessibility of streets which the demand population utilizes easily.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1169-1173
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• 2008

국내의 유역은 대부분 상류부는 산지 하류부는 평야지로 구성되어 있으며, 산지가 많은 유역에서는 일정기간 동안 내린 강우량이 시 공간적으로 매우 다르다. 특히 최근에는 국소지역에 강우가 집중하는 특성을 보이고 있기 때문에 한 유역에서도 지역적으로 많은 양적 차이를 보이고 있어 유역평균강우량은 강우관측소의 공간적 분포 및 밀도에 따라 크게 달라질 수 있다. 따라서 정확한 유역평균강우량을 산정하기 위해서는 한유역에 강우관측소가 고루 분포되어 있고 밀도가 높아야 가능하며, 유출률 역시 보다 정확히 산정할 수 있다. 또한 정확한 유출률 산정은 하천에서 직접 측정된 유량자료 및 수위-유량관계곡선의 적정성을 평가할 수 있게 한다. 따라서 본 연구에서는 섬진강 유역을 대상으로 강우관측소의 공간분포 및 밀도에 따른 유역평균강우량과 유출률 변화를 검토하였다. 유역평균강우량을 산정하기 위해 강우자료는 섬진강 유역 내 외에 위치한 기상청 및 건교부 강우관측소의 강우자료를 이용하였다. 하천 유출량은 2007년에 섬진강에서 유량측정이 실시된 3개 지점의 수위-유량관계곡선식을 이용하여 산정하였다.

• Journal of the Korean association of regional geographers
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• v.23 no.1
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• pp.118-135
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• 2017

The decline in urban center, changes in the population structure, economic slump and etc. have caused empty or deserted houses in the city. The government recognizes the houses as the reason for the accelerated formation of local slum, and as the negative element threatening the residential environment, urban landscape, social stability and others. This research aims at investigating the spatial distribution of empty or deserted houses in Gwangju metro city, identifying hotspots and classifying those hotspot according to the socioeconomic indicators as well as physical ones, and examining their characteristics and problems in the urban space. The results of this study are as follows. First of all, there is a positive spatial autocorrelation in the spatial distribution of empty and deserted houses in Gwangju metro city. Second, several hotspots are identified mainly around the old CBD area showing a sign of urban decline. Third, the indicators of urban decline were visualized using triangulation charts, and hotspots of empty(deserted) houses are classified so that the classification could serve for effective urban regeneration policy making tailored for each region.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.13-29
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• 2021

The purpose of this study was to analyze the spatial distribution and location factors of startups by generation (young and middle-aged) in Seoul. To this end, a research model was established that included factors of industry, population, and startup institutions by generation in 424 administrative districts using the Seoul Business Enterprise Survey(2018), which includes data on the age group of entrepreneurs. As an analysis method, descriptive statistics were conducted to confirm the frequency, average and standard deviation of startups by generation and major variables in the administrative districts of Seoul, and spatial distribution and characteristics of startups by generation were analyzed through global and local spatial autocorrelation analysis. In particular, the spatial distribution of startups in Seoul was confirmed in-depth by categorizing and analyzing startups by major industries. Afterwards, an appropriate spatial regression analysis model was selected through the Lagrange test, and based on this, the location factors affecting startups by generation were analyzed. The main results derived from the research results are as follows. First, there was a significant difference in the spatial distribution of young and middle-aged startups. The young people started to startups in the belt-shaped area that connects Seocho·Gangnam-Yongsan-Mapo-Gangseo, while middle-aged people were relatively active in the southeastern region represented by Seocho, Gangnam, Songpa, and Gangdong. Second, startups by generation in Seoul showed various spatial distributions according to the type of business. In the knowledge high-tech industries(ICT, professional services) in common, Seocho, Gangnam, Mapo, Guro, and Geumcheon were the centers, and the manufacturing industry was focused on existing clusters. On the other hand, in the case of the life service industry, young people were active in startups near universities and cultural centers, while middle-aged people were concentrated on new towns. Third, there was a difference in factors that influenced the startup location of each generation in Seoul. For young people, high-tech industries, universities, cultural capital, and densely populated areas were significant factors for startup, and for middle-aged people, professional service areas, low average age, and the level of concentration of start-up support institutions had a significant influence on startup. Also, these location factors had different influences for each industry. The implications suggested through the study are as follows. First, it is necessary to support systematic startups considering the characteristics of each region, industry, and generation in Seoul. As there are significant differences in startup regions and industries by generation, it is necessary to strengthen a customized startup support system that takes into account these regional and industrial characteristics. Second, in terms of research methods, a follow-up study is needed that comprehensively considers culture and finance at the large districts(Gu) level through data accumulation.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.473-473
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• 2015

토양수분은 수문학적 과정의 시공간적 변동과 수자원 관리 및 계획 그리고 기후변화에 따른 자연재해의 원인규명에 중요한 부분이다. 본 연구에서는 사면의 단면선에 따른 토양수분의 분포 및 변동을 파악하기 위해, 청미천 유역내의 사면에서 10개월 동안의 토양수분들을 측정하여, 토양깊이별, 계절별로 분석하였다. 토양수분특성은 간단한 통계적 방법을 이용하여, 평균, 표준편차 그리고 토양수분의 감쇄기울기 값으로 표현하였다. 추가적 연구로, 측정지점의 위치, 지형, 토성의 토양수분에 대한 반응분석을 하였다. 깊은 토양층에서의 토양수분의 공간적 분포는 지표층에서의 공간적 분포 경향과는 상이하게 나타났으며, 사면의 지형 및 위치 그리고 토성의 공간적 분포는 토양수분의 시 공간적 분포특징에 큰 영향을 주는 것으로 나타났다. 특히 상부흐름의 기여를 받는 측정지점에서는 토양수분 변동의 안정화가 진행이 되는 것으로 보이며, 수문학적 경계(Hydrologic Threshold)에 대한 추가연구가 진행되어야 할 것으로 판단된다. 상부사면에서의 높은 토양수분 변동성 및 뷸 균질적인 공간적 분포는 우선적 흐름발달의 영향과 관련이 있다고 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.350-350
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• 2017

저수지의 설계홍수량 산정 시 인근의 기상관측 자료를 활용하고 있으나 인근에 기상관측 자료가 없거나 저수지 배후 유역이 큰 경우에는 단일 기상관측 자료를 이용하기에는 한계가 있다. 따라서 실무적으로 지점별 기상관측소의 자료를 이용하여 설계홍수량을 산정할 때에는 각 관측소 자료를 이용하여 확률강우량을 산정하고 Thiessen 가중평균을 한 후 면적우량환산계수 (ARF)를 곱하여 사용하고 있는데, Thiessen 방법의 경우 방법이 간단하지만 지형 고도 효과는 무시되고 우량계의 지배면적에 의한 우량계의 분포 상태만을 고려하게 된다. 그러므로 설계홍수량 산정시 사용되는 Thiessen 방법은 공간적 불확실성을 내포하고 있고, 특히 소규모 저수지의 설계홍수량을 산정하는 경우에는 저수지 유역의 국소적인 특징을 나타내기 어렵다. 본 연구에서는 설계홍수량 산정 시 저수지 위치에 해당하는 확률강우량의 공간적 불확실성을 평가하기 위하여 SIS(Sequential Indicator Simulation) 방법을 이용하였다. SIS 방법은 Kriging 기법과 마찬가지로 베리오그램으로부터 얻어지는 공간적 상관관계를 기반으로 하고 있는 방법으로 Kriging 기법과 달리 공간분포의 국소적인 특성을 평가할 수 있다는 장점을 가지고 있다.