• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.616-619
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• 2007

Nowadays, urbanized area expands its boundary, and distribution of urbanized area is gradually transformed into more complicated pattern. In Korea, SMA(Seoul Metropolitan Area) has outstanding urbanized area since 1950s. But it is ambiguous whether urban distribution is clustered or dispersed. This study aims to show the way in which expansion of urbanized area impacts on spatial distribution pattern of urbanized area. We use quadrat analysis, nearest-neighbor analysis and fractal analysis to know distribution pattern of urbanized area in time-series urban growth. The quadrat analysis indicates that distribution pattern of urbanized area is clustered but the cohesion is gradually weakened. And the nearest-neighbor analysis shows that point patterns are changed that urbanized area distribution pattern is progressively changed from clustered pattern into dispersed pattern. The fractal dimension analysis shows that 1972's distribution dimension is 1.428 and 2000's dimension is 1.777. Therefore, as time goes by, the complexity of urbanized area is more increased through the years. As a result, we can show that the cohesion of the urbanized area is weakened and complicated.

• 한국경제지리학회지
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• 제10권3호
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• pp.319-331
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• 2007

도시화 지역은 지역발전과 더불어 공간적 범위가 확대되고 있다. 수도권 역시 예외는 아니어서 1960년대 이후 우리나라의 경제개발을 주도하며 도시화 지역의 공간적 범위가 확대일로에 있다. 그러나 도시화 지역의 공간적 분포를 평가함에 있어 그 분포 양상이 집적형태인지 임의적 형태인지 아니면 분산된 형태인지는 정확히 판단하기 어렵다. 즉, 시기가 지남에 따라 도시화 지역이 확대되기는 하지만 정량적으로 그 분포를 판단하기란 쉽지 않다. 본 연구는 GIS의 통계적 분석 기법을 이용하여 도시화 지역의 확대와 성장이 도시화 지역의 분포 패턴에 어떠한 영향을 주었는지를 살펴보고자 하는 것이다. 시계열적 도시성장 과정에서 수도권 내 도시화 지역의 분포패턴을 파악하고자 래스터 기반의 GIS 분석방법, 방격 분석(quadrat analysis), 그리고 최근린 분석(nearest neighbor analysis)을 사용하였다. 실험 결과 수도권의 도시화 지역의 집적정도는 1980년대 초반까지는 증가하다가 그 후로는 약화되는 것으로 분석되었다. 또한 1980년대 중반 이후 수도권 내에서는 외연적 성장이 약화되고 비지적 도시성장 또는 도로망과 연계한 소규모 개발이 증가함을 알 수 있었다.

• 복식
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• 제36권
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• pp.43-52
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• 1998

This study was to analyze properties of the foot form through a development figure of the surface area by factor analysis, cluster analysis, and reglation analysis. This study was performed 71 college women between 19 adn 23 years old residing in Pusan urban area. The result was as follows; 1. There are four factors selected by factor analysis. The 1st factor signifies the surface area of the toe. The 2nd factor signifies the surface area between Metatarsal circumfer-ence and Tarsal circumference. The 3rd factor signifies the surface area between Toe circumference and Metatarsal circumference. The 4th factor signifies the surface area between Heel-ankle circumference. 2. There are three clusters selected by fast cluster. Cluster 1 : The foot size, most parts of foot surface area and total foot surface area are relatively small to other clusters, but the surface area between Metatarsal circumference and Tarsal circumference is relatively large to other clusters. Cluster 2 : The foot size, all parts of foot surface area and total foot surface area are relatively large to other clusters as Cluster 1, but the surface area of the sole of the heel and the ankle is relatively large to other clusters. 3. Total surface area of the foot=-274.94+24.01* Foot lengh+9.28*Metatarsal circumference.

• 한국환경과학회지
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• 제12권10호
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• pp.1025-1032
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• 2003

The purpose of this study is to analyze the characteristics of the urban landscape by CG(Computer Graphic) pictures and visibility analysis. In this study, the CG picture was created by using zoning data and DEM(Digital Elevation Model) on Chunchon city. The landscape type was classified into three by cluster analysis using the area rate of the element which constitutes CG picture. Visible analysis used DEM as fundamental data, and was performed by using GIS(Geographic Information System). And the frequency seen on viewshed was classified into five grades. The result of this study are as follows: 1. The area rate of the element which constitutes CG picture was high development restriction zone(43%) in type 1, green land area(39%) in type 2, and city area(24%) in type 3. 2. In the analysis results of GIS visibility analysis, it turns out that Euiam lake is important area on the landscape in all types. 3. The land use of high frequency seen on viewshed was water area, residential area in type 1, development restriction area, park area in type 2, and development restriction zone, water area in type 3.

• 한국공간구조학회논문집
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• 제23권1호
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• pp.35-43
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• 2023

Microclimate analysis was conducted through actual measurement according to land use status in urban, and CFD analysis was conducted to analyze and predict the microclimate characteristics of urban, and compared and analyzed with the actual measurement results. It was measured in high-rise areas and parks, and the temperature of the park area was 0.4 to 0.6℃ lower, and the relative humidity was 1.0 to 3.0% higher. The correlation coefficient was obtained by comparing the results of the computational fluid analysis with the results of the computational fluid analysis at the actual location located within the CFD analysis area for validation. The seasonal correlation coefficients are all higher than 0.8, so it is judged that they can be applied to microclimate analysis in urban area. The computational fluid analysis was divided into three areas (low-rise, low and high-rise, and high-rise) centered on the A2 point. On average, the low-rise area was 0.1 to 0.4% higher than the high-rise area. In the low and high-rise area and high-rise area, the pith of buildings are wide, so the airflow is smooth, so it is judged that the temperature is relatively low.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제23권2호
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• pp.73-82
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• 2017

Purpose: Since the facility guidelines for National Designated Isolation Unit wards(NDIUs) had been edited since 2016, all hospital who want to expand or install NDIU should adapt the new guidelines. Instead of providing area requirement, by the way, only essential or optional facility requirements are suggested except patient bedroom in the guidelines. So, as analyze area and area composition of the NDIUs, it could be expected that this study has a role as an area planing reference for not only NDIU but also another airborne infection isolation room. Methods: For the area analysis, 18 sample hospitals are selected among 2016 year applicants. All rooms in NDIUs are grouped as zones whether those are negative air pressurized or not and programed room or not. At the end, area of the zones are summarized and analysed a relationship between area increase and bed number by both correlation analysis and regression analysis. In addition, department usable and gross area per bed, N/G ratio, G/N ratio, and average area ratio of each zone is calculated. Results: First of all, rooms in none negative air pressurized zone of the NDIUs haven't shown a regular installation so that only those in negative air pressurized zone are targeted for the area analysis. Second of all, patient room unit(0.92) and support area(0.79), by correlation analysis, are correlated with total net area. Patient room unit(0.94) and total net area(0.79) are also shown a correlation with bed number. Department usable area($R^2=0.63$, y=36.278x + 102) and patient room unit area($R^2=0.89$, y= 27.993x - 0.8924) has a relationship with bed number by regression analysis. Average N/G is shown as 0.85 and G/N 1.36. Average area ratio of circulation, doffing area, patient room unit, and support area are 25.4%, 9.1%, 50.9%, and 14.6% in order. Implications: This study is a basic research for exploring the NDIUs guidelines to find resonable evidence to develop it for its practical use. Still, it is possibly expected that the guideline is to be developed by post occupancy evaluation in the area of where minimum requirement or facility grade needs to be defined, and by further studies with various perspectives.

• 국토계획
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• 제53권7호
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• pp.23-37
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• 2018

In recent years, there has been a proliferation of commercial uses in the area where Gentrification occurs. In order to cope with such a diffusion phenomenon, it is necessary to derive the diffusion area accurately. Gentrification has a feature that occurs locally in a short time. Therefore, this study used the space-time pattern analysis to derive the diffusion area of commercial uses in Bukchon, a typical gentrified area in Seoul. Among the space-time pattern analysis, space time permutation statistics used in this study can derive the convergence phenomenon of time and space in a particular case with only the location information. The results confirmed that there has been three proliferation area in Bukchon, one started in 2007, other in 2013 and the other in 2014. In the earliest area, independent shops were the most popular, and the majority of them were restaurants. However in latter areas, there has been more chain stores and clothing stores than earlier area. The findings of this study indicate that space time pattern analysis can be used as a tool to analyze the proliferation by gentrification because it can derive accurate location and timing of the diffusion.

• Journal of Construction Engineering and Project Management
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• 제2권4호
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• pp.32-41
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• 2012

In recent times, multi-centralization and decentralization as well as large Capital area and suburbanization in the spatial structure of capital area. With rapid growth, urbanization and industrialization are unsystematic, and growth inequality between regions caused negative effects such as discordant centralization and decentralization, fluctuating land value, and gap between living conditions. Accordingly, this study analyzed urban spatial indexes by the self-governed body in the capital area such as Seoul, Incheon, and Gyeonggi province for the analysis of the regional inequality phenomenon. We examined the characteristics of temporal and spatial changes in urban spatial structure in the capital area by utilizing the distribution pattern and density of city indexes such as population, employment, etc, and then drew the commonality of those factors through factor analysis. We evaluated the drawn results through the city standard index by each city, conducted factor score analysis, and identified the interaction between each factor and Housing Purchase Price Composite Indices index, housing rent price index(Housing Jeonse Price Composite Indices), land price fluctuation rate, diffusion ratio of house, and financial independence.

• 자원환경지질
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• 제33권1호
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• pp.51-59
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• 2000

As a part of natural hazard assessment, regional slope stability analysis was conducted using Geoscientific Information System (GIS) in the northern area of Chungju Lake. Selected factors which affect the slope stability in the study area were lithology, soil, density of lineament, groundwater level, dip of slope, aspect of slope, and geological engineering properties. Geological structural domains were determined by collected data of joint orientation from about 200 sites in order to produce a slope instability map. Potential type of failure and its direction could be expected through the domains. And a slope instability map was produced, comparing the representative orientations of the domains with the orientations of the slopes which were made through TIN module in ARC/INFO. Under the consideration of environmental geological characteristics of the study area, rating and weighting of each factor of slope stability analysis were decided and spatial analysis of regional slope stability was couducted through overlaying technique of GIS. The result of areal distribution of slope stability showed that the most unstable area was the area between Mt. Pudae and Mt. Jubong, and the northern area of the railway station, Samtan.

• 한국환경과학회지
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• 제29권10호
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• pp.951-959
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• 2020

This study aimed to re-establish the conservation area reflecting landscape ecological value through scenario program, targeting Odaesan National Park. The basic data were mapped in watershed planning units, which were set considering topographical and ecological values. The framework of Marxan with Zones, using an indexation process, was using the mapped indicators. Each best solution according to the scenarios was assessed through sensitivity analysis, and a final solution was selected among the best solutions, considering criteria including area ratio of conservation area and grouping. Lastly, the final solution was verified in the overlap analysis with recent zonation. As a result, through the framework of Marxan with Zones, the best solution of scenario 1, which was set by the highest conservation criteria was selected as the final solution, and the area ratio of conservation area and grouping was excellent. As for the overlap analysis, the suggested conservation area was improved compared to recent zonation in terms of the area ratio (39.4%), biotope grade I (35.6%) and the distribution points (7 places) of legally protected species.