• 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.

• Spatial Information Research
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• v.21 no.2
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• pp.85-97
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• 2013

The accumulation of spatial information - people, building, land and businesses- is required to make a rational decision successfully by utilizing the Spatial Decision Support Systems (SDSS). Many foreign countries have utilized the SDSS by defining the minimum unit of spatial area and implementing the spatial database based on it. Even though in Korea, National Basic Districts were created for the purpose of utilizing these districts as a basic area, they have not been utilized as a basic area of managing the spatial database due to the lack of attributes data. Therefore, the goal of this research is to suggest the strategies of building Spatial Decision Support Systems through the accumulation of the spatial data based on National Basic Districts. We propose the strategies in three different fields - legal system, database and application, services. We expect that the role of National Basic Districts w ill be strengthened by executing our strategies as a minimum spatial unit of Korea.

• Journal of Fashion Business
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• v.10 no.1
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• pp.148-163
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• 2006

The purpose of this study is to examine differences in university students' spatial behavior and time for purchasing weekdays or weekends according to trading areas they use to purchase casual wears. Theoretical background examined trading areas, in Busan, consumers' spatial behavior. An empirical research developed a questionnaire as a measuring tool to conduct a preliminary survey and a main survey. Data collection was implemented with 507 students from four universities in Busan; and for data analysis, descriptive statistics, cross-tabulation analysis, correspondence analysis, and McNemar test were carried out by using the SPSS for Windows 12.0K program. This study obtained the main results as follows: The characteristics of university students' spatial behavior according to trading areas show significant difference in reasons of trading area selection, time slots for visiting. University students who visited the Seomyeon trading area were found to consider comparison-based purchasing and prominence of the trading area, regardless of the time for purchasing weekdays or weekends. As for trading areas around Busan National University, visits were mainly due to accessibility. Students visited trading areas in Nampo-Gwangbok-dong regardless of the time for purchasing in diverse reasons of trading area selection, time slots. As for trading areas around Kyungsung University, students were visited due to accessibility.

• Journal of The Korea Institute of Healthcare Architecture
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• v.22 no.1
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• pp.51-61
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• 2016

Purpose: To improve and establish functions for public health centers in rural public, an analysis will be done on arrangement plan and area by function for public health centers in farming and fishing villages. After finding out this relationship and architectural characteristics, spatial organization and area ratio for providing efficient medical service and the relationship between the two will be examined. Methods: 8 of them were selected and site visit and interview with the person in charge were conducted to investigate the current status. The drawings collected for analysis were input as CAD data and schematized. The relationship between the arrangement type and area for the public health centers in farming and fishing villages was analyzed and based on this, an analysis was done on agricultural scale and characteristics, and putting these analyzed results together, an appropriate method of improvement was proposed for spatial organization by function for public health centers in farming and fishing villages and to provide efficient service. Results: Firstly, the Plan types found in the public health centers in farming and fishing villages could be classified into three including single-type, multiple-type and radial-type. Secondly, according to an analysis of areas by function, in the case of treatment function, there was a difference in the area ration for selective treatment. This ratio is considered to be greatly influenced by the project each public health center focuses on. Thirdly, I could become aware of the relationship between spatial organization and area ratio based on the analysis of arrangement and area derived above. Implication: As the data to refer to in future research on spatial organization for public health centers, if the object of analysis becomes more expanded and investigated, it will be utilized in detail for spatial planning of public health centers, thereby being expected to contribute to more efficient and qualitatively enhanced medical service provided by public health centers.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.5
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• pp.479-485
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• 2011

A number of case studies that find distribution of longevity population and influencing factors through the spatial data fusion using GIS techniques are growing. The majority cases of these studies are adopt census administrative boundary data for the spatial analysis. However, these methods cannot fully explain the phenomenon of longevity because there are a variety of spatial characteristics within the census administrative boundaries. Therefore, studies of spatial unit are required that realistically reflect the phenomenon of human longevity. The dasymetric mapping method enables to product of spatial unit more realistic than census administrative boundary map and statistic estimates of small area utilizing diversity spatial information. In this study, elderly population of small area has been estimated within statistically significant level that applied the vector based dasymetric mapping method. Also, the cluster analysis confirmed that the variation of local spatial relationship within census administrative boundary. The result of this study implied that the need for local-level studies of the human longevity and the validity of the dashmetric mapping techniques.

• Journal of Korean Society for Atmospheric Environment
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• v.27 no.5
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• pp.545-557
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• 2011

The objective of this study was to estimate the trends of each pollutant using the air pollution monitoring networks data from January 2005 to December 2008 in Daegu area. Also, the spatial characteristics of each pollutant were determined using the Pearson correlation coefficients and COD (coefficients of divergence). In this study, the trends of hourly, monthly, seasonal, and total average concentrations of each pollutant for the 10 sites were analyzed. The Ihyeon site showed highest concentration for the $SO_2$, $NO_2$, and PM10}. In the case of $O_3$, the Jisan site showed highest concentration among the other sites. Also, industrial area presented highest concentration for the $SO_2$, CO, and PM10. On the other hand, $NO_2$ showed highest in commercial area. The IDW (inverse distance weighting) method was used to estimate characteristics of spatial distribution. The results provide identify spatial distribution for each pollutant. Also, the Pearson correlation coefficients and COD values provide spatial variability among the monitoring sites. The COD of each pollutant showed very low values for all of the sites pairs. On the other hand, the Pearson correlation coefficients showed high values for all of the sites pairs. Finally, analysis of spatial variability can be used to characterize the spatial uniformity and similarity of concentrations from each pollutant.

• Journal of Environmental Impact Assessment
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• v.20 no.3
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• pp.299-311
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• 2011

The objective of this paper is to present a methodology for the classification of spatial patterns considering the parameters of urban form which play a significant role in the formation of the urban climate. The urban morphological parameters, i.e. building coverage, impervious pavement, vegetation, water, farmland and landuse types were used to classify the spatial patterns by a K-means cluster analysis. And the presented methodology was applied on Changwon city, South Korea. According to the results of cluster analysis, the total spatial patterns were classified as 24 patterns. First of all, The spatial patterns(A-1, A-2, A-3, B-1, B-2, B-3, C-1, C-2, C-3, D-1, D-2, D-3, E-1, E-2, E-3, F-1, F-2, F-3, G-1, G-2, G-3), which distributed in the rural area and the suburban area, can have the positive impacts of cold air generation and wind corridor on an urban climate environment, were distributed in the rural area. On the other hand, the spatial patterns of the downtown area including A-4, B-4, C-4 and D-4 are expected to have the negative impacts on urban climate owing to the of artificial heat emission or the wind flow obstruction. Finally, it will require the future research to analysis the climatic properties according to the same spatial patterns by the field survey.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.16-41
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• 2020

Geospatial input setting to represent the reality of spatial distribution or quantitative property within model has become a major interest in earth system simulation. Many studies showed the variation of grid resolution could lead to drastic changes of spatial model results because of insufficient surface property estimations. Hence, in this paper, the authors proposed Monte Carlo Integration (MCI) to apply spatial probability (SP) in a spatial-sampling framework using a three-dimensional point cloud (3DPC) to keep the optimized spatial distribution and area/volume property of buildings in urban area. Three different decision rule based building identification results were compared : SP threshold, cell size, and 3DPC density. Results shows the identified building area property tend to increase according to the spatial sampling grid area enlargement. Hence, areal building property manipulation in the sampling frameworks by using decision rules is strongly recommended to increase reliability of geospatial modeling and analysis results. Proposed method will support the modeling needs to keep quantitative building properties in both finer and coarser grids.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.10a
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• pp.40-41
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• 2010

This study is on the spatial composition of accommodation area in accommodation barge. Accommodation barge used as accommodation facility for offshore plants can be classified into Accommodation Work Barge, Accommodation Pipe Lay Barge and Multi-purpose Accommodation Barge. We study on the spatial composition of accommodation area in Accommodation Work Barge, most frequently used, through analyzing G.A drawings of the barges. The spatial composition.

• Journal of The Geomorphological Association of Korea
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• v.23 no.3
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• pp.67-78
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• 2016

Soil carbon(C) is an essential property for characterizing soil quality. Understanding spatial patterns of soil C is particularly limited for mountain areas. This study aims to predict the spatial pattern of soil C using terrain analysis in a steep mountainous area. Specifically, model performances and prediction uncertainties were investigated based on the number of resampling repetitions. Further, important predictors for soil C were also identified. Finally, the spatial distribution of uncertainty was analyzed. A total of 91 soil samples were collected via conditioned latin hypercube sampling and a digital soil C map was developed using support vector regression which is one of the powerful machine learning methods. Results showed that there were no distinct differences of model performances depending on the number of repetitions except for 10-fold cross validation. For soil C, elevation and surface curvature were selected as important predictors by recursive feature elimination. Soil C showed higher values in higher elevation and concave slopes. The spatial pattern of soil C might possibly reflect lateral movement of water and materials along the surface configuration of the study area. The higher values of uncertainty in higher elevation and concave slopes might be related to geomorphological characteristics of the research area and the sampling design. This study is believed to provide a better understanding of the relationship between geomorphology and soil C in the mountainous ecosystem.