• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.429-439
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• 2013

This study, as a purpose of viewshed anaiysis is selected for the landscape view point, View of the target Haenam Dalmasan Mihwangsa(Scenic site No.59) located in the terrain ridge. Criteria of landscape view point was built through both 3D visibility analysis by GIS and public preference. In results could be summarized as follows : Criteria of landscape view point by GIS was confirmed to be appropriate since a result of average score for 36 data calculated by 3D visibility analysis was higher than intermediate score. Futhermore, the landscape view point with higher score could be associate with higher public preference was determined. 3D visibility analysis in this study should be implemented additionally with not GIS, public preference but distance and extent of visibility research to discover, maintain and preserve objective and empirical landscape view point to public as resources of scenic sites.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.4
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• pp.114-122
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• 2005

The purpose of this study was to analyze the landscape characteristics by making DEM, land use map, and the land cover map on the Odesan national park, and to suggest the method of visual management through the visibility analysis. In the change of land use district, the natural environment district decreased, the natural preservation district extended relatively. It means that the tendency of preservation was strengthened. However, the development possibility has increased by increase as for the area of the village district. In the land cover change, it appeared agriculture area and city area increase in the natural environmental district. The most area where visible frequency appeared highly belonged to the natural preservation district and forest region. However some areas belonged to the natural environmental area, and continuous landscape management was required.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.3
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• pp.126-135
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• 2011

In this study, the algorithm for priority area of forest fire surveillance was developed to enhance the effectiveness of fire detection. The high priority surveillance area for forest fire detection was defined as the area with not only low value of viewshed analysis of the lookouts and detection cameras but also high fire occurrence probability. To build the priority map, fuzzy function and map algebra were used. The analysis results of Bonghwa-gun, Gyeongbuk Province, showed that the surveillance priority of central and southern area is higher than north area. This algorithm could be used in the allocation of fire prevention resources and selection of suitable point for new fire detection system.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.4
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• pp.75-80
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• 2009

The Beacon Mounds play a important role in defence and communication extending from the period of the Three States to the period of Chosun. About the research of beacon mounds have focused on investigation in old literature. This research analyzed geographic factors such as altitude, cross section, distance and visible distance affect in selecting location of beacon mounds. And it was presumed how each beacon mound geographic characteristics was considered in selecting location of beacon mounds. As a result, it is presumed that communicating among beacon mounds and watching the coast were affected by geographic characteristics and selecting location of beacon mounds was considered by several geographic factors.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.105-106
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• 2013

본 연구는 명승경관자원 발굴에 있어 명승주변에서 조망되는 경관의 현황을 객관적으로 검토할 수 있게 함으로써, 전국 지자체를 비롯한 문화재 담당 실무자들이 명경경관자원의 발굴 및 관리를 용이하게 하고자 하였다. 수치지형정보를 이용하여 3D시뮬레이션을 실시함으로써 조망경관의 형태를 분석하였으며, 시뮬레이션형태에서 가시권분석을 실시함으로써 가시영역에 대한 경관형태를 직접적으로 확인 할 수 있었다. 이러한 분석은 명승의 경관자원 발굴에 있어 객관적인 근거를 제시할 수 있을 것으로 예상된다.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2003.11b
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• pp.68-69
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• 2003

본 연구에서는 광역적 도시경관을 파악하기 위하여 수치표고모델과 토지이용 데이터를 이용한 CG화상을 작성하고 경관을 유형화하였다. 또한 각 유형의 시점장에서 도시중심에 위치한 봉의산을 시대상으로 하는 가시권 분석을 실시하였다. 춘천시의 도시경관은 3개 유형으로 분류되었다. 유형1은 개발제한구역 중심의 경관, 유형2는 녹지 중심의 경관, 그리고 유형3은 시가지와 수역을 중심으로 한 경관특성을 나타내었다. 가시권 분석의 결과, 유형1은 수역, 유형2와 유형3은 개발제한구역에서 피시빈도가 높았다. 특히. 시가지와 인접한 의암호가 경관상 중요한 곳으로 분석되었다. 또한 토지이용에서 개발제한구역이 경관상 중요한 곳에 분포하여, 개발제한구역의 해제 정도에 따라 대상지의 도시경관이 영향을 받게 될 것으로 사료된다.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2012.03a
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• pp.133-137
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• 2012

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.2
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• pp.19-33
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• 2024

CCTV for crime prevention is expanding; however, due to the absence of guidelines for determining installation locations, CCTV is being installed in locations unrelated to areas with frequent crime occurrences. In this study, we developed a CCTV Priority Installation Index and applied it in a case study area. The index consists of crime vulnerability and surveillance vulnerability indexes, calculated using machine learning algorithms to predict crime incident counts per grid and the proportion of unmonitored area per grid. We tested the index in a pilot area and found that utilizing the Viewshed function in CCTV visibility analysis resolved the problem of overestimating surveillance area. Furthermore, applying the index to determine CCTV installation locations effectively improved surveillance coverage. Therefore, the CCTV Priority Installation Index can be utilized as an effective decision-making tool for establishing smart and safe cities.

• Korean Journal of Environment and Ecology
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• v.28 no.2
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• pp.253-262
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• 2014

This study was conducted to find methods of qualitative landscape assessment for vegetational landscapes using ecological analysis. The study site was Seoraksan National Park in Korea. For this study, differing unique landscape resources were categorized and identified according to ecosystems. After identifying the study areas, the relationship between trail visitor preference and the amount of visible overexposure caused by people to the resources was examined. Landscape resources chosen for ecological analysis at Seoraksan National Park were subalpine vegetation community, high mountain rocks, ombrogenous deciduous broadleaf forest in the valley area, edaphic climax community, big tree community, flowering tree dominant community, autumnal tree dominant community and needle-leaf forest in the subalpine area. As a result of the study, it was found that the landscape resources with the highest correlation to visitor trail preference were big tree community area, flowering tree dominant community area, and needle-leaf forest in the subalpine area. As a result of overlapping the analysis of the amount of visible overexposure to the landscape resources and the analysis of preferential use of trails by visitors, guidance for the appropriate season for each trail can be provided. Since a positive correlation exists between certain sections of the natural landscapes and visitor preference, ecological impact on landscape resource ecosystems did not appear to cover wide areas of the trails, but was limited to certain areas preferred by visitors.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.1
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• pp.80-87
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• 2009

The purpose of this study is to analyze the MAUP's effect in visibility analysis using GIS. MAUP normally occurs in the process in terrain spatial analysis including visibility analysis. There are two different types of grid data(based on digital map and Digital Terrain Elevation Data) and 10 different types of areal units are made for modeling, such as $5m{\times}5m,\;10m{\times}10m,\;15m{\times}15m,\;20m{\times}20m,\;25m{\times}25m,\;30m{\times}30m,\;35m{\times}35m,\;40m{\times}40m,\;45m{\times}45m,\;50m{\times}50$. By analyzing the result, it was possible to observe varying viewshed areas according to different grid cell sizes and the viewshed area did not varied linearly as expected. From a general point of view, smaller unit data map out the real world in more detail, but the results of modeling do not always reach a good conclusion when data are used in modeling for terrain analysis because of the MAUP' effect. The grid cell sizes of 30m or less seems to be adequate for visibility analysis, including terrain analysis considering vegetation heights.