• Journal of the Economic Geographical Society of Korea
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• v.11 no.2
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• pp.175-191
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• 2008

In the early stage of industrial development, most of software companies were agglomerated at the CBD(Central Business Districts) in Seoul. However, the spatial distribution pattern of Korean Software industry has been changed according to the propagation of broadband, the change in rents, the governmental policy for industrial districts. In this research, using the software year book at 1997 and 2007, the emerging new pattern was analyzed using spatial clustering analysis. As a results of research, the spatial distribution was expanded in morphological changes. However, it was found that there was not a significant difference in a degree of accumulation. In the aspect of behavioral movement of companies, they tend to be relocated from the CBD to urban fringes and their movement is related to the product life cycle in selecting the clustered place.

• Spatial Information Research
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• v.11 no.3
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• pp.301-325
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• 2003

Urban residential area, one of the main subjects of urban and architectural studies, can be analyzed accurately and rapidly with CIS. (Geographic Information System) And the applications of GIS in urban studies are too macro to be explained in architectural terms and the ones in architectural studies are not so much active rather be used as a secondary means. So the studies in urban-architectural scale are very useful in many ways. This study explores urban-architectural possibilities of analytic capabilities of GIS through the analysis of spatial characteristics of residential area in terms of land price according to parcel attributes. It is found, firstly, that the parcel attributes have relations with land price and its distribution patterns. Secondly, it is verified that the visualization capability of GIS can be a very useful method of analysis through user-interface effects in urban-architectural scaled analysis.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.3
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• pp.99-105
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• 2014

Since traffic accidents account for the highest proportion of the artificial disasters which occur in urban areas along with fire, more scientific an analysis on the causes of traffic accidents and various prevention measures against traffic accidents are needed. In this study, the research selected Jinju-si, which belongs to local small and medium-sized cities as a research target to analyze the characteristics of temporal and spacial distribution of traffic accidents by associating the data of traffic accidents, occurred in 2013 with the causes of traffic accidents and location information that includes occurrence time and seasonal features. It subsequently examines the spatial correlation between traffic accidents and the characteristics of urban space development according to the plans of land using. As a result, the characteristics of accident distribution according to the types of accidents reveal that side right-angle collisions (car versus car) and pedestrian-crossing accident (car versus man) showed the highest clustering in the density analysis and average nearest neighbor analysis. In particular, traffic accidents occurred the most on roads which connect urban central commercial areas, high-density residential areas, and industrial areas. In addition, human damage in damage conditions, clear day in weather condition, dry condition in the road condition, and three-way intersection in the road way showed the highest clustering.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.3
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• pp.21-28
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• 2008

In MCDA (Multi-Criteria Decision Analysis) based on GIS, building the CM(Criteria Map) which represents the space phenomenon properly is important process to deduce precise and efficient site analysis result. The CM using administrative district data is widely used for site analysis process. But, there are not enough studies on site analysis using dasymetric mapping technique. For MCDA, this study suggests building the CM by using dasymetric mapping technique, which re-assigns the social-economic attribute value to more detail space unit. The suggested method is used for industrial site analysis. The criteria map for workforce and criteria map for the distance to the city were built and criteria map which represents attribute's space distribution pattern is documented. The criteria map is successfully applied to multi-criteria decision making process and eventually the analysis result of proposed suitable industrial site is derived.

• Journal of the Korean Geographical Society
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• v.42 no.3 s.120
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• pp.421-433
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• 2007

The Metropolitan Areas have experienced the phenomenon that some of their peripheral parts emerged as a core business area because of the relocation of residential and economic activities from the central area. An important phenomenon in the spatial transformation of metropolitan area is the weakening of centrality in the center and the increasing strength of centrality in the periphery. This paper examined the changing patterns of spatial interaction in the Seoul Metropolitan area through an analysis on outflow trips. Outflow trip by Seoul decreased in nearby regions and increased in remote regions, however as times goes by, the spatial patterns of the largest outflow trip destination were diversified and the rate of outflow trip to Seoul has decreased in the periphery regions. This research reveals that the most remarkable changes of spatial interactions occurred nearby regions of Seoul and also the changes of outflow trip by Seoul was also distinct. In relation to this, the results arising from the similarity analysis by the variance of trip clearly show the changing spatial patterns of interaction in Yongin, Seoul, Suwon and Hwaseong.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.8
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• pp.1652-1658
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• 1997

We analyze the short-term fading characteristics of received signal in urban microcellular environment. In order to analyze the fading signal, we obtain the fading distributions by distance, the received power pattern by arrival angle and the spatial correlation coefficients of fading signal by spacing distance between two antennas. In addition, we compare the distributions of simulated fading signal with the Rician parameter K in various conditions. As the results, it can be seen that the occuring period of deep fade and fade range in microcell are different as the distance between two antennas;besides, the period of fade and fade range in OBS region occur shortly and deeply as compared with those in LOS region. The data used in analysis are obtained by the simulation program using ray tracing technique.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.2
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• pp.29-37
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• 2011

Forest fire in Korea has been controlled by local government, so that it is required to understand the characteristics of regional forest fire occurrences for the effective management. In this study, to analyze the patterns of regional forest fire occurrences, we divided South Korea into nine zones based on administrative boundaries and performed spatial statistical analysis using the location data of forest fire occurrences for 1991-2008. The spatial distributions of forest fire were analyzed by the variogram, and the risk of forest fire was predicted by kriging analysis. As a result, forest fires in metropolitan areas showed strong spatial correlations, while it was hard to find spatial correlations of forest fires in local areas without big city as Gangwon-do, Chungcheongbuk-do and Jeju island.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.121-121
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• 2021

기후변화의 영향으로 국내의 강우량과 강우패턴의 변화가 나타나고 있다. 최근 30년 여름철 집중호우의 평균강수량은 1980년 694.5 mm에서 2000년대 768.7 mm로 평균강수량이 74.2 mm 증가하였다. 평균강수일수는 36일에서 40일로 약 4일 증가하였다. 집중호우의 증가로 국소적 홍수에 의한 재해규모가 증가하고 있는 실정이다. 토양침식은 물의 순환과정에서 있어 나타나는 하나의 현상으로 토양손실을 의미한다. 강우량과 지형 및 토양특성이 토양침식량을 결정하는 주요한 요인이다. 토양침식은 농경지 감소, 고탁수 하천유입, 하천 및 호소내 퇴적으로 인한 수생태환경 변화 등의 다양한 문제를 발생시키고 있다. 그동안 우리나라는 토양침식량을 예측하기 위해 연평균 토양침식예측모형을 적용하고 있으며, 최근에 강우강도를 고려한 토양침식모형에 관한 연구가 진행되고 있다. 본 연구는 동일한 강우량을 Huff 방법을 이용하여 24시간 강수량 자료를 만들고 물리적기반 토양침식모형에 적용하여 나타나는 토양침식과 퇴적 공간분포에 대하여 분석하고자 한다.

• Journal of Korean Society of Transportation
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• v.21 no.4
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• pp.103-111
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• 2003

This study proposes methodology deterimining a basic pedestrian crossing capacity that plays a critical role in the installation of pedestrian signal at the crosswalks. The methodology is based on the pattern of vehicle arrived at the crosswalks. Erlang distribuion is used as headway distribution that can cover the various levels of flow rate. Models using Erlang distribution are represented by Erlang parameter (K) of 1, 2, or 3 at 2-, 4-, or 6-lane roadway in both directions. In addition, this study considered the only type of road with a pedestrian refuge area in the median that is used to wait for the allowable gap provided by the flow of another direction. As a result, the pedestrian capacity decreases as flow rate increases and Erlang parameter increases for the road with the pedestrian refuge. This study develops the models to determine the pedestrian capacity under a variety of flow rates and the outcomes of this study could be used as the criteria for the determination of the installation of pedestrian signal or for the provision of pedestrian refuge in the median of road.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.1
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• pp.71-84
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• 2017

Radon, which enters the interior environment from soil, rocks, and groundwater, is a radioactive gas that poses a serious risk to humans. Indoor radon concentrations are measured to investigate the risk of radon gas exposure and reliable radon concentration mapping is then performed for further analysis. In this study, we compared the predictive performance of various univariate kriging algorithms, including ordinary kriging and three nonlinear transform-based kriging algorithms (log-normal, multi-Gaussian, and indicator kriging), for mapping radon concentrations with an asymmetric distribution. To compare and analyze the predictive performance, we carried out jackknife-based validation and analyzed the errors according to the differences in the data intervals and sampling densities. From a case study in South Korea, the overall nonlinear transform-based kriging algorithms showed better predictive performance than ordinary kriging. Among the nonlinear transform-based kriging algorithms, log-normal kriging had the best performance, followed by multi-Gaussian kriging. Ordinary kriging was the best for predicting high values within the spatial pattern. The results from this study are expected to be useful in the selection of kriging algorithms for the spatial prediction of data with an asymmetric distribution.