• Journal of Korea Water Resources Association
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• v.45 no.6
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• pp.597-606
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• 2012

With the availability of multi-scale hydrologic data in public domain depending on DEM size, there is a need for a modeling framework that is capable of using these data to simulate hydrologic processes at multiple scales for different topographic and climate conditions for distributed hydrologic model. To address this need, an object-oriented approach, called Geographic and Hydrologic Information System Modeling Objects (GHISMO), is developed. Main hydrologic approaches in GHISMO are storage-release for direct runoff and SCS curve number method for infiltration part. This paper presents conceptual and structural framework of storage-release concept including its application to two watersheds will be presented.

• Spatial Information Research
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• v.6 no.2
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• pp.125-132
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• 1998

The I/O performance for spatial queries is extremely important since the handling of huge amount of multidimensional data is required in spatial databases for geographic information systems. Therefore, we describe representative spatial access methods handling complex spatial objects, z-transform B tree, KDB tree, R tree, MAX tree, to increase I/O performance. In addition, we measure the performance of spatial indexing schemes by testing against various realistic data and query sets. Results from the benchmark test indicates that MAX outperforms other indexing schemes on insertion, range query, spatial join. MAX tree is expected to use as index scheme organizing storage system of GIS in the future.

• Journal of the Korean Association of Geographic Information Studies
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• v.2 no.1
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• pp.73-83
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• 1999

The land use/cover information, which is periodically obtained from satellite imagery, can be effectively applied to change detection in rapidly changing urban areas. Also it can be used not only as base maps for spatial database in urban information system but as decision-making data for desired urban planning and development direction. In this study, we carried out both unsupervised and supervised classification on land use from Landsat TM and JERS-1 OPS data, which were collected respectively in 1991 and 1997, covering Kumi City and then detected land use changes.

• Journal of the Korean Association of Geographic Information Studies
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• v.2 no.1
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• pp.54-62
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• 1999

Vectorizing for input processing of map is the most time and cost consuming task, and the quality of vector data depends on that processing result. Therefore, it is an important task to develop a good vectorizing system in the GIS. Thinning algorithm is the most important technology for deciding the quality of vector data in the vectorizing system. In this paper, as a suitable algorithm for map vectorizing we considered several algorithms that preserve topological and geometric characteristics, and have no distortion of the contour line. As a results, we implemented WPTA4 and well known thinning algorithm, and compared WPTA4 execution results with the others.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.5
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• pp.487-496
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• 2020

This study introduces how GISs (Geographic Information Systems) are used to assess spatial disparities in urban green spaces in the Chicago. Green spaces provide us with a variety of benefits, namely environmental, economic, and physical benefits. This study seeks to explore socioeconomic relationships between green spaces and their surrounding communities and to evaluate spatial disparities from a variety of perspectives, such as health-related, socioeconomic, and physical environment factors. To achieve this goal, this study used spatial statistics, such as optimized hotspot analysis, network analysis, and space-time cluster analysis, which enable conclusions to be drawn from the geographic data. In particular, 12 variables within the three factors are used to assess spatial disparities in the benefits of the use of green spaces. Finally, the variables are standardized to rank the community areas and identify where the most vulnerable community areas or parks are. To evaluate the benefits given to the community areas, this study used the z- and composite scores, which are compared in the three different combinations. After identifying the most vulnerable community area, crime data is used to spatially understand when and where crimes occur near the parks selected. This work contributes to the work of urban planners who need to spatially evaluate community areas in considering the benefits of the uses of green spaces.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.4
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• pp.174-183
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• 2021

This study aims to suggest a method to provide a real-time noise map based on cloud using Amazon AWS. Acquiring environmental noise information, an Android app was developed to collect data on noise level, location, and measurement time of campus in Inha Technical College as a study area. Noise measurement information is transmitted to the AWS Cloud and managed, and the noise information collected through Amazon Quick Site is displayed in charts and maps. Finally, a web-based noise contour map and the results mapped to buildings were visualized with a Google map for users to search for the current environmental noise distribution. The real-time noise map presented as a result of this study is expected to be helpful for noise status and reduction policies.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.137-143
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• 2020

Traffic-related environmental factors (TREF) are a major problem in developed countries, leading to increased atopic sensitivity, allergy symptoms, and diseases. This study shows an association between traffic-related pollutants, distance of road and gas station from the children's daycare center, and allergy symptoms. Data was obtained from the 2018 survey, an ongoing allergic diseases prevalence survey for children aged 4-7 (n=1175). This survey considered 36 public daycare centers, across 6 districts in Seoul. Allergic symptoms were defined as the presence of at least 1 or more allergic diseases (International Study of Asthma and Allergies in Childhood (ISAAC)). TREF was derived from the distance to the nearest main roads and gas stations. Geographic data processing and variable computation were conducted using ArcGIS version 10.2. The odds ratios for allergy symptoms increased by 1.189 (1.235-2.679) times with decreasing distance to main roads and by 1.846 (1.176-2.896) times with decreasing distance to a gas station. This study concludes that main roads and gas-stations near children's daycare centers are related to the allergy symptoms in children.

• The Korean Journal of Emergency Medical Services
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• v.25 no.3
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• pp.37-48
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• 2021

Purpose: Mortality due to trauma is relevant to both low-income and high-income countries. A diversity of causes leads to mortality such as, socioeconomic status and geographic factors. This study sought to differentiate between cases of mortality in a metropolitan city and a rural area, with data from critical trauma patients. Methods: Community-based severe trauma surveillance data from 2018 was used in this study. Logistic regression was conducted to compare the odds ratios between deaths that occurred in a metropolitan city and a rural area. Multiple logistic regression by controlling variables such as type of medical institution and injury severity score was conducted to estimate the effect on the trauma patients. Results: In total, 28,217 participants were selected as total population. We observed that the odds of death decreased as the level of the trauma center increased. Compared to the metropolitan city, the odds ratio of rural areas was 1.44. The odds ratio increased as the injury severity score increased. Conclusion: This study suggests that the mortality of critical trauma patients is higher in rural areas than in metropolitan cities. More studies are needed to expand on this.

• Journal of Preventive Medicine and Public Health
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• v.54 no.3
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• pp.208-217
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• 2021

Objectives: In spite of the importance of green space for reducing obesity-related problems, there has been little exploration of whether access to green space (e.g., parks and recreational facilities) influences the obesity rate of adults in the United States. The purpose of the study was to investigate the relationships among accessibility of green space, obesity rates, and socioeconomic and demographic variables among adults living in the State of Indiana, United States. Methods: We conducted a secondary data analysis to investigate the relationships among accessibility to green space, obesity rates, and socio-demographic variables with employing Geographic Information System in order to measure the accessibility of green space. Results: This study found that accessibility of green space served as a strong predictor of reduced obesity rates among adults (β=-2.478; p<0.10). In addition, adults with higher education levels, as well as better access to green space, were found to have even lower obesity rates (β=-0.188; p<0.05). Other control variables such as unemployment rates, food security, and physical inactivity are additional factors that influence obesity rates among adults. Conclusions: Accessibility of green space may play an important role in facilitating physical activity participation and reducing obesity rates.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.09a
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• pp.259-263
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• 2010

본 논문은 개발도상국을 위한 국가공간정보기반(National Spatial Data Infrastructure: 이하 NSDI) 추진전략을 마련하기 위해, 1995년부터 그동안 국가GIS 3단계에 걸친 우리나라 공간정보기반(Spatial Data Infrastructure: 이하 SDI)구축 성과에 대한 평가작업을 수행하였다. 이런 우리나라 SDI성과에 대한 분석과 평가는 기존의 문헌조사 및 전문가 20인의 델파이조사를 토대로 하였다. 아울러 개발도상국 SDI의 SWOT분석을 수행하였고, 이와 함께 우리나라 SDI사례를 바탕으로 한 개발도상국을 위한 NSDI 추진전략을 모색하였다.