• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.3
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• pp.129-141
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• 2019

In recent years, fast growing cities in Korea are showing signs of being vulnerable to more disasters as their population and facilities increase and intensify. In particular, fire is one of the most common disasters in Korea's cities, along with traffic accidents. Therefore, in this study, we analyze what type of factors affect the fire that threatens urban people. Fire data were acquired for 10 years, from 2007 to 2017, in Jinju, Korea. Spatial distribution pattern of fire occurrence in Jinju was assessed through the spatial autocorrelation analysis. First, spatial autocorrelation analysis was carried out to grasp the spatial distribution pattern of fire occurrence in Jinju city. In addition, correlation and multiple regression analysis were used to confirm spatial dependency and abnormality among factors. Based on this, OLS (Ordinary Least Square) regression analysis was performed using space weighting considering fire location and spatial location of each facility. As a result, First, LISA (Local Indicator of Spatial Association) analysis of the occurrence of fire in Jinju shows that the most central commercial area are fire department, industrial area, and residential area. Second, the OLS regression model was analyzed by applying spatial weighting, focusing on the most derived factors of multiple regression analysis, by integrating population and social variables and physical variables. As a result, the second kind of neighborhood living facility showed the highest correlation with the fire occurrence, followed by the following in the order of single house, sales facility, first type of neighborhood living facility, and number of households. The results of this study are expected to be useful for analyzing the fire occurrence factors of each facility in urban areas and establishing fire safety measures.

• Journal of Convergence Society for SMB
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• v.6 no.4
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• pp.37-43
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• 2016

Sinkholes happen in increasingly higher frequency in downtown areas with a concentration of social infrastructure these days. Most sinkholes occur around the living areas of citizens, which calls for a systematic countermeasure plan for urban development and underground water management, which are parts of the main causes of sinkholes. This study thus set out to analyze the risk factors of sinkholes in the subject area by using geospatial information deeply connected to sinkholes both directly and indirectly. The geospatial information used in analysis was obtained by examining the causes of sinkholes from a topographical perspective. Collected data were treated and analyzed with a range of spatial analysis tools based on GIS. The findings show that topographical factors had significant relations with sinkhole causes and raise a need to manage all kinds of pipe networks underground, the movement characteristics of underground water levels, and other topographical features. The findings may serve as data to support decision-making processes in the field of urban disaster prevention and call for extensive research to incorporate hydro-geomorphology and spatial modeling.

• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.165-177
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• 2009

This study shed light on searching spatial location pattern of movie theaters by operating screens in theater as proxy variable to find spillover effects and spatial determinants. After taking procedure to find spatial spillover effect by GIS 3D analyst, movie theaters in Seoul metropolitan area are formed in four categorized regions, such as Kangbuk, Kangnam, Kangseo, and Kangdong. Regions which have larger number of screens than others show that they affect to relevant regions directly. In addition, this study analyzes that people have tendencies to visit movie theater while they use other similar facilities such as music, publishing, and public performance facilities. Therefore, trend of agglomeration of similar enterprise including motion picture industry has a spillover effect and economy of scale when they are gathered in specific regions which are specialized as certain usage.

• Journal of the Korean Regional Science Association
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• v.34 no.2
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• pp.35-47
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• 2018

This research aims to examine the spatial patterns of vacant housings and the factors determining housing vacancy in Daegu using individual-level building DB. The results of the spatial pattern analysis showed a donut shaped-spatial concentration of vacant housings in the central areas of the city. The results of logistic regression analysis revealed that not only individual building characteristics, such as building area, number of floors, and building age, but also socio-economic characteristics of community, such as urban redevelopment district, number of adjacent vacancies, recent population change, and ratio of elderly, are important factors affecting housing vacancies.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.3
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• pp.37-46
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• 2016

This study intends to analyze the characteristics of imageability elements of the tourism space using the spatial cognitive mapping method. For this purpose, this study selects Nami Island as a study site and collects spatial cognitive maps or sketches of the study area focused on tourists in their 20s and 30s after they visit the site. The results of frequency analysis on imageability elements of Nami Island show that paths, landmarks, and edges are more frequently cognized to tourists in their 20s and 30s than districts and nodes. This study determines a new imageability element of the tourism space, "moving objects," such as or bikes or animals. Tourism planners or landscape designers can consider these useful imageability elements as important planning factors in order to improve and clarify the images of tourism spaces.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.2
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• pp.95-107
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• 2014

In general, topographical phenomena are represented graphically by data in the spatial domain, while attributes of the non-spatial domain are expressed by alpha-numeric texts. GIS functions for analysis of attributes in the non-spatial domain remain quite simple, such as search methods and simple statistical analysis. Recently, graph modeling and network analysis of social phenomena are commonly used for understanding various social events and phenomena. In this study, we applied the network analysis functions to the non-spatial domain data of GIS to enhance the overall spatial analysis. For this purpose, a novel design was presented to integrate the spatial database and the graph database, and this design was then implemented into a WebGIS system for better decision makings. The developed WebGIS with underlying synchronized databases, was tested in a simulated application about the selection of water supply households during an epidemic of the foot-and-mouse disease. The results of this test indicate that the developed WebGIS can contribute to improved decisions by taking into account the social proximity factors as well as geospatial factors.

• The Korean Journal of Ecology
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• v.23 no.3
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• pp.241-253
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• 2000

The degree to which microenvironmental factors are linked to spatial patterns of vegetational factors within ecosystems has important consequences for our understanding of how ecosytems are structured and for conservation of rare species in ecosystems. We studied this relationships between the spatial patterns of microenvironmental factors and vegetational factors in temperate hardwood forest in Mt. Jumbong Biological Reserve Area, Korea. To do this, environmental and vegetational factors from 196 micropoints in a 0.49 ha plot were investigated. Most of all environmental factors and vegetational factors showed the variations among micropoints. Microtopographic factors, litter depth, soil moisture content and relative light intensity at this site were spatially dependent at a scale of 14∼62 m. Coverage of tree and shrub layer and species diversity of herb layer in autumn were spatially dependent at a scale of < 15 m. Species richness and species diversity of herb layer in spring and species richness of herb layer in autumn were spatially dependent at a scale of 28∼48 m. Multiple regression analysis showed that spatial patterns of species richness and species diversity of herb layer in spring and autumn were affected by litter depth, slope, subtree layer, shrub, Sasa borealis etc. The best predictor for the spatial patterns of species richness and species diversity of herb layer at this site was the spatial pattern of litter depth. Species richness and species diversity of herb layer showed strongly negative correlation with litter depth. We estimate that the spatial pattern of litter depth at this site were affected by direction of wind, microtopography and spatial pattern of shrub layer.

• Design Convergence Study
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• v.15 no.3
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• pp.133-149
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• 2016

In this study, I tried to provide the basic data for planning the public library space to meet the new needs of the users in digital generation by survey and literature review on factors in planning the digital space of public libraries. In 2000, a separate space for digital materials has been prepared at the most of the libraries as a part of informatization program of public libraries. However, it is not sufficient to provide a number of different needs of the users due to the identical design of all the libraries. For the prioritization, 50 factors have been deducted by review of preceding studies, evaluation factors and criteria of library of each institution. Factorial analysis was performed on the factors with the importance which was higher than average. Also, the relationships among the factors with similar properties were understood to categorize the factors in space planning by each factor. Based on these factors in planning the digital space, further space evaluation of the public library and user satisfaction survey could be followed to provide a fundamental basis for the specific space planning.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.1
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• pp.39-45
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• 2015

The housing market is transformed by a variety of socio-economic characteristics, also appeared differently according to regional characteristics. This study aims to draw out the change factors influencing on the housing market structure and to analyze the drawn factors' distribution pattern by area. For this purpose, First, targeting 251 areas in the units of city, county and districts nationwide, this study drew out demographic, socio-economic variables influencing on the housing market structure for 5 years ranging 2005 to 2010. For that, the factor analysis was conducted. Second, this study grasped the change factors of the housing market structure's spatial patterns using the kriging method, a spatial statistical method. Third, this study used the Moran I, one of spatial autocorrelation analysis methods in order to grasp whether the factors had statistically significant concentration or dispersion or showed a random distribution pattern.

• The Journal of the Korea Contents Association
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• v.10 no.5
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• pp.185-201
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• 2010

Interactive space became one of the major design paradigms. For elevating the interactive effect in this, we need user-centered design methodology which uses the influential factors on the interactivity. As the second paper of three-linked studies for the interactivity in the interactive space, this research analyzed the interface factors' specific attributes for supporting behavioral participation. 'Interface' is one of three main factors on the interactivity(Intersubject/Interface/Interaction). Its role in the interactive space is to induce or support user's participations which bring the interactive changes into the designs. Qualitative case analysis was the main method and 30 cases were investigated. 'Individual analysis-Transitional description-Generalization' were the progressive steps for case analysis. As final results, 17 attributes for supporting behavioral participation were analyzed.