• 한국실내디자인학회논문집
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• 제17권6호
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• pp.137-142
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• 2008

Since mid 1990s, the domestic market in Korea has been changing drastically especially in the field of discount stores. The competition among this market is more severe and the consuming pattern is also changed. This study is to examine the correlation between the customer's circulation and the spatial configuration by using Space Syntax and VMD pattern through the MD plan of each floor in Discount store. Throughout this study, it tries to find out the Quantitative analysis among three factors - the customer's circulation, spatial configuration and VMD investigation. The pattern of customer's circulation appears differently according to the identity of customer and store layout, but with the result, customer's circulation system is in accordance with the floor layout in the store. In result of the study, the circulation of the customer was found to have a close relationship with spatial structure that is composed by the MD pattern in a discount store in the area of food section. Also, the circulation system in the rest area except food section is more affected by the VMD pattern rather than spatial structure.

• 한국측량학회지
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• 제39권1호
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• pp.29-40
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• 2021

범죄, 화재, 교통사고 등 국민의 안전을 위협하는 위험인자들은 지역적 맥락과 공간적 특성을 가지고 있다. 지역마다 서로 다른 위험환경을 가지고 있으므로 교통사고, 화재, 범죄, 생활안전 분야별로 위험요소의 공간적 패턴을 분석할 필요가 있다. 본 연구는 전국 기초자치단체를 대상으로 분야(교통사고, 화재, 범죄, 생활안전, 자살, 감염병)별 안전등급을 측정한 지표인 지역안전지수의 공간적 분포 패턴을 분석하는데 연구의 목적이 있다. 지역안전지수의 공간적 자기상관성 분석을 위해 전역적 공간자기상관분석(Global Moran's I)과 Local Moran's I를 활용한 LISA(Local Indicators of Spatial Association) 분석, Getis-Ord's G⁎i 분석을 실시하였다. 분석결과 교통사고, 화재, 자살의 안전지수 분포는 범죄, 생활안전, 감염병의 안전지수보다 공간적으로 집중(clustered) 경향을 보였다. 지역간 유의미한 공간적 연관성을 분석한 LISA 분석결과에 따르면, 수도권 지역이 다른 도시에 비하여 지역안전통합지수를 기준으로 비교적 안전한 지역인 것으로 나타났다. 또한 Getis-Ord's G⁎i 통계값을 활용한 핫스팟분석 결과 안전 취약지역의 군집인 3개의 핫스팟(강원도 삼척시, 경상북도 청송군, 전라북도 김제시)과 전반적인 안전 수준이 높은 군집인 15개의 콜드스팟이 도출되었다. 이러한 연구 결과는 안전 수준 취약지역의 공간적 분포와 패턴을 파악하여 안전 지수 개선을 위한 정책 수립시 기초자료로 활용될 수 있다.

• Journal of Ecology and Environment
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• 제41권8호
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• pp.223-234
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• 2017

Background: Spatial structure of plants in a population reflects complex interactions of ecological and evolutionary processes. For dioecious plants, differences in reproduction cost between sexes and sizes might affect their spatial distribution. Abiotic heterogeneity may also affect adaptation activities, and result in a unique spatial structure of the population. Thus, we examined sex- and size-related spatial distributions of old-growth forest of dioecious tree Torreya nucifera in extremely heterogeneous Gotjawal terrain of Jeju Island, South Korea. Methods: We generated a database of location, sex, and size (DBH) of T. nucifera trees for each quadrat ($160{\times}300m$) in each of the three sites previously defined (quadrat A, B, C in Site I, II, and III, respectively). T. nucifera trees were categorized into eight groups based on sex (males vs. females), size (small vs. large trees), and sex by size (small vs. large males, and small vs. large females) for spatial point pattern analysis. Univariate and bivariate spatial analyses were conducted. Results: Univariate spatial analysis showed that spatial patterns of T. nucifera trees differed among the three quadrats. In quadrat A, individual trees showed random distribution at all scales regardless of sex and size groups. When assessing univariate patterns for sex by size groups in quadrat B, small males and small females were distributed randomly at all scales whereas large males and large females were clumped. All groups in quadrat C were clustered at short distances but the pattern changed as distance was increased. Bivariate spatial analyses testing the association between sex and size groups showed that spatial segregation occurred only in quadrat C. Males and females were spatially independent at all scales. However, after controlling for size, males and females were spatially separated. Conclusions: Diverse spatial patterns of T. nucifera trees across the three sites within the Torreya Forest imply that adaptive explanations are not sufficient for understanding spatial structure in this old-growth forest. If so, the role of Gotjawal terrain in terms of creating extremely diverse microhabitats and subsequently stochastic processes of survival and mortality of trees, both of which ultimately determine spatial patterns, needs to be further examined.

• 한국공간구조학회논문집
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• 제6권1호
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• pp.117-127
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• 2006

경량 연성구조시스템 중 하나인 막 구조물은 대공간 구조물에 많이 사용되어진다. 막 구조물은 축강성이 강하고 휨강성이 매우 작은 재료를 주 구조재로 사용하기 때문에 다른 구조물과 달리 구조설계에서는 형상해석, 응력-변형해석 그리고 재단도 등의 일련의 과정을 필요로 한다. 재단도의 작성에는 구조물의 크기나 곡률 그리고 재료적 강성에 따라 많은 변수가 작용하며 다른 설계과정과는 매우 다르다. 따라서 일반 구조설계용 프로그램은 막 구조물의 구조설계에 부적당하다. 본 연구에서는 막 구조물의 측지선을 이용한 재단도 작성 프로그램을 개발하고, 예제를 통해 재단도 작성결과를 비교 고찰하도록 한다.

• 한국공간구조학회:학술대회논문집
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• 한국공간구조학회 2006년도 춘계 학술발표회 논문집 제3권1호(통권3호)
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• pp.205-213
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• 2006

Membrane structures, a kind of lightweight soft structural system, are used for spatial structures. The design procedure of membrane structures are needed to do shape finding, stress-deformation analysis and cutting pattern generation, because the material property has strong axial stiffness, but little bending stiffness. The problem of cutting pattern is highly varied in their size, curvature and material stiffness. So, the approximation inherent in cooing pattern generation methods is quite different. Therefore the ordinary computer software of structural analysis & design is not suitable for membrane structures. In this study, we develop the program for cutting pattern generation using geodesic line, and investigate the result of example's cutting pattern in detail.

• 한국공간구조학회:학술대회논문집
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• 한국공간구조학회 2005년도 춘계학술발표회 및 정기총회 2권1호(통권2호)
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• pp.125-132
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• 2005

Membrane structures, a kind of lightweight soft structural system, are used for spatial structures. The material property of the membrane has strong axial stiffness, but little bending stiffness. The design procedure of membrane structures are needed to do shape finding, stress-deformation analysis and cutting pattern generation. In shape finding, membrane structures are unstable structures initially. These soft structures need to be introduced initial stresses because of its initial unstable state, and it happens large deformation phenomenon. And also there are highly varied in their size, curvature and material stiffness. So, the approximation inherent in cutting pattern generation methods is quite different. Therefore, in this study, to find the structural shape after large deformation caused by Initial stress, we need the shape analysis considering geometric nonlinear ten And the geodesic line on surface of initial equilibrium shape and the cutting pattern generation using the geodesic line is introduced.

• 한국지리정보학회지
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• 제11권1호
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• pp.155-166
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• 2008

마산만의 해양 수질과 영양염에 대한 정량적인 이변량 공간패턴 분석을 수행하기 위하여 비공간 상관성 측정 방법으로 Pearson's r, 공간적 연관성 측정 방법으로 Moran's I 및 이 두 지수를 통합한 L 지수를 각각 적용하였다. L 지수에 내포된 비공간 상관성과 공간 연관성의 특성을 파악하기 위해 Pearson's r와 Moran's I 지수를 각각 3가지 유형으로 구분한 후, 이들을 조합하여 9가지 유형으로 정의하였다. 또한 L 지수의 사분위수를 이용하여 9가지 유형에 대해 중복되지 않는 L 지수의 범위를 도출한 결과 9가지 유형이 5개의 그룹으로 분류되었다. 이러한 L 지수를 마산만 해양환경패턴에 적용한 결과에 의하면 이변량의 해양수질과 영양염이 2월과 7월에는 공간적인 연관성과는 무관하게 비공간적으로 상관성이 없는 패턴을 보였지만, 5월과 11월에는 정적 또는 부적 상관성이 있으면서 공간적으로는 군집된 패턴을 보였다. L 지수로 이변량의 비공간 상관성과 공간적 연관성을 해석하기 위한 지침을 제시한 본 연구의 결과는 향후 정량적인 지수를 이용한 해양환경패턴 분석에 도움을 줄 것으로 기대한다.

• 한국측량학회지
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• 제32권3호
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• pp.225-231
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• 2014

When a spatial regression model that uses kernel density values as a dependent variable is applied to retail business data, a unique model cannot be selected because kernel density values change following kernel bandwidths. To overcome this problem, this paper suggests how to use the point pattern analysis, especially the L-index to select a unique spatial regression model. In this study, kernel density values of retail business are computed by the bandwidth, the distance of the maximum L-index and used as the dependent variable of spatial regression model. To test this procedure, we apply it to meeting room business data in Seoul, Korea. As a result, a spatial error model (SEM) is selected between two popular spatial regression models, a spatial lag model and a spatial error model. Also, a unique SEM based on the real distribution of retail business is selected. We confirm that there is a trade-off between the goodness of fit of the SEM and the real distribution of meeting room business over the bandwidth of maximum L-index.

• Spatial Information Research
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• 제11권3호
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• pp.251-260
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• 2003

본 연구에서는 지구통계기법과 GIS를 이용하여 Cl/sup -/ 농도 분포도를 작성하고 이를 통해 해수침투 분포 양상을 파악하였다. 분포도는 탐색적 공간자료 분석을 통해 자료의 분포 패턴을 파악한 후에 정규크리깅과 공동크리깅을 이용하여 작성하였다. 지구통계기법인 크리깅은 시ㆍ공간적인 자료의 분포특성과 상관관계를 이용하여 신뢰할 만한 결과를 제공한다. 공동크리깅의 이차변수는 상관분석을 통해 Cl/sup -/과의 상관성이 큰 TDS, Na/sup ＋/, Br/sup -/을 선정하였다. Cl/sup -/ 농도 분포도를 분석한 결과 공동크리깅에 의한 분포도가 정규크리깅의 분포도보다 더욱 정밀하게 나타났으며, 전반적으로 이민촌 일대와 해안가 지역에서 높은 농도 이상대를 보이고 있음을 확인할 수 있었다.

• 유통과학연구
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• 제16권7호
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• pp.47-56
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• 2018

Purpose - This study aims to not only investigate spatial pattern of immigrants' residence and crime occurrences in South Korea, but shed light on how geographic distribution of immigrants and immigrant segregation affect crime rates. Research design, data, and methodology - Th unit of analysis is Si-Gun-Gu municipal level entities of South Korea. The crime data was obtained by Korea National Police Agency and two major types(violence and property) of crime were measured. Most demographic, social, and economic variables were derived from Korean Census Data in 2015. In order to examine spatial patterns of immigrants' distribution and crime rates in South Korea, the present study utilized GIS mapping technique and Exploratory Spatial Data Analysis(ESDA) tools. The causal linkage was investigated by a series of regression models using STATA. Results - Spatial inequality between urban metropolitan vs rural areas was visualized by mapping. Assuming large Moran's I value, spatial autocorrelation appeared to be quite strong. Several neighborhood characteristics such as residential stability and economic prosperity were found to be important factors leading to crime rate change. Residential distribution and segregation for immigrants were negatively significant in the regression models. Conclusions - Unlike the traditional arguments of social disorganization theory, immigrant segregation appeared to reduce violent crime rate and the high proportion of immigrants also turned out to be a crime prevention factor.