• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.28 no.3
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• pp.122-130
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• 2010

The Study takes the rivers in Zhouzhuang - traditional Chinese Kangnam watery landscape as the object. The purpose of this study is to grasp the relationships between visual characteristics and the preference. The following is the research process: Firstly, the theoretical study of Zhouzhuang, the traditional Kangnam region in China, is conducted, the watery landscape is taken pictures, and 22 photos are selected. Secondly, in order to grasp the visual preference and landscape characteristics of the watery landscape in Zhouzhuang, 22 pictures and 25 pairs of adjectives are adopted for the questionnaire survey. Thirdly, in order to have a better understanding on the physical properties and effects of physical quantity on the preference, the occupation ratios of buildings and sculptures, natural elements, footpaths, bank revetments and other landscape elements are calculated, and the mean analysis, dispersion analysis and regression analysis are conducted. In order to grasp the landscape characteristics and preference factors, 25 pairs of adjectives are used to conduct the factor analysis. In order to grasp the effects of characteristics of visual factors on the preference, the dispersion analysis and regression analysis are carried out. The results are as follows: From the results of the landscape preference analysis, in the No.22 photo with the top preference, 11 pairs of adjectives, namely, "harmonious-disharmonious", "beautiful-ugly", "rural-urban", "soft-rough", "stable-instable", "romantic-realistic", "cheerful-gloomy", "brilliant-simple", "natural-artificial", "familiar-strange", and "clean-dirty" have positive effects on watery landscape. It can be viewed as the relatively important factor in the visual preference. In terms of the results of visual physical quantity analysis of traditional Chinese Kangnam watery landscape, the landscape with high occupation ratio of buildings and sculptures has positive effects on visual preference. The results of analysis of visual physical quantity and preference show that the preference degree increases as the occupation ratio of footpath area increases. The analysis results of visual characteristics of traditional Chinese Kangnam watery landscape identify four factors, namely psychological factor, cultural factor, condition factor and physical factor. It can be concluded from the results of analysis of the relationships between visual preference and visual characteristics that the return coefficient B of the psychological factor is +0.936. It can significantly affect the watery landscape, so it can be identified as the most important factor among the visual preference factors of Chinese Kangnam watery landscape.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.38 no.2
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• pp.108-117
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• 2020

This study takes the Gyeongju Historic Areas Daereungwon Area as the research object, uses the Virtual Walkthrough method for virtual experience and evaluation, the visual characteristics were analyzed. To analyze landscape visual characteristics and to find out the relationship between image factors and visual preferences, the factor analysis and multiple regression analysis were conducted. The results are as follows: the results of preference analysis of the Daereungwon Area show that the preference of scene3 where located on the western boundary of Noseo-rl tumuli got the highest score, and the preference score of scene5 where located on the western boundary of Daereungwon less than three points. The results of factor analysis of visual characteristics, three factors were analyzed: regularity factor, spatiality factor and historical factor. The analysis of variance and multiple regression analysis results of the relationship between factor scores and visual preferences show that regularity factor was analyzed as the biggest factor that affects the visual preference of the Historical-cultural landscape Daereungwon Area. Virtual Walkthrough method has a strong three-dimensional and strong production of the real landscape scene, it's an effective method in landscape analysis. The results of research provides data and information for improving the visual quality of Historical-cultural landscape and it's expected to be applied in the future of landscape planning.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.18 no.2
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• pp.157-168
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• 2000

MDD(Mountainous District Development) has more available area than flatland come into solution for many urban problem arisen from the insufficiency of urban-purpose land and space. When develope the mountainous district, the development must be a development considered the viewscape. To efficiently accomplish the MDD viewscape was considered, firstly we have to know which viewscape element effect on many observers when they rate the viewscpe preference. As a basical study for MDD viewscape was considered, we used GSIS and ANN(Artificial Neural Network) in cause analysis of viewscape preference. Many observers firstly influenced by“height difference”that represent the difference between elevation of a mountainous and buildings, and secondly floor-area-ratio has influence on viewscape preference, thirdly many observer affected by building coverage among many viewscape elecments considered in this study.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2006.03a
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• pp.25-29
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• 2006

• 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 Korean Institute of Traditional Landscape Architecture
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• v.30 no.3
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• pp.80-86
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• 2012

This study is about selecting Landscape Viewpoint on Bukchon Hanok Village, Jongno-Gu, Seoul. The process on selecting photo spots was focused on visualizing elements, and it was hard to find an objective standard for selecting landscape viewpoint. Therefore, by literature review and site study, this study selects more objective and empirical Landscape View Point on Bukchon. Landscape Viewpoint Standards are Traditional Hanok Landscape, Historical Heritage Landscape, Alley Street Landscape, City Architecture Landscape, and Natural Forest Landscape. By Landscape Preference and Character of Place survey, this study finds out another Landscape Viewpoint and correlation of those variables. A coefficient of correlation is 0.846, and its correlation is considerably high. Through this result, it could provide a concrete standard for selecting Landscape View Point and a preliminary information for finding Landscape View Point on Histo-Cultural area.

• Korean Journal of Environment and Ecology
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• v.9 no.2
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• pp.232-249
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• 1996

The purpose of this is to suggest objective basic data for the use development and conservation management of the national park through the quantitative analysis of the visual quality included in the physical environment of the Odaesan National Park, for this, spatial images structure of physical elements have been analyzed by factor analysis algorithm and degree of visual quality have been measured mainly by questionnaries. Result of this thesis can be summarized as follows. Factors covering the spatial image of the Odaesan National Park landscape have been found to be the pverall synthetic evaluation, physical, spatial, natural quality and, appeal factors such as the overall the synthetic evaluation, spatial and appeal yield high factor scores. As for the factors determining the degree of visual quality of clear of valley, peculiarity of configuration, natural of trail, harmony of suitable artificaial planting and temple.

• Current Research on Agriculture and Life Sciences
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• v.31 no.4
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• pp.256-264
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• 2013

This study presents a greening plan for the under space of elevated rail tracks to reducing landscape impairment and improve the streetscape. This study focuses on a section of the Daegu Metro line number 3 that includes a concentration of high-rise apartments and commercial areas. First, different types of planting were categorized for the under space of the elevated rail track, and then images of each planting type were created using a 3D simulation tool to evaluate the visual characteristics. The landscape images and related adjectives were assessed using a survey. As a result, rows of flower trees received the highest evaluation, and 'harmony' was identified as the most important factor affecting the railscape preference. These results can be important data for establishing an efficient greening plan for the under space of elevated rail tracks.

• Korean Journal of Environment and Ecology
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• v.7 no.2
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• pp.231-240
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• 1994

The purpose of this study is to suggest the objective basic data for applying to development and conservation management of the national park through the quantitative analysis of the visual quality included in the and physical environment of the Tokyusan National Park. For this, spatial images and structures, of natural elements have been analyzed by factor analysis algorithm, and degree of visual quality has been measured mainly through questionnaries. Result of this study can be summarized as follows. Factors covering the spatial image of the Tokyusan National Park landscape have been found to be the overall synthetic evaluation, appeal, spatial, natural quality and dignity factors such as the overall synthetic evaluation, spatial and appeal yield high factor scores. The main factors determining the degree of visual quality are the clearness valley, peculiarity of configuration, natural of trail, harmony of suitable artificial planting and temple.

• Journal of the Korean Institute of Landscape Architecture
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• v.40 no.6
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• pp.47-59
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• 2012

In this study, species and seasonal scenery image were made using 3D simulation modeling to evaluate emotional image of street trees in the roads cape. Study site are set in Tongdaeguro, located in Daegu Metropolitan City and Cedrus deodara, Metasequoia glyptostroboides, Liriodendron tulipifera L., and Zelkova serrata were selected to evaluate the species. In the survey result, it appears that Zelkova serrata is the highest preference for summer landscape and Metasequoia glyptostroboides is the highest preference for fall and winter landscape. With regard to the factor analysis, in order to derive emotional evaluation factor, aesthetic factor, perception factor, individuality factor, natural factor, and spatial factor were derived and aesthetic factor is the greatest impact for preference common in all seasons. Preference and positive emotional image of Metasequoia glyptostroboides is evaluated as the highest in the winter and the aesthetic factor score reduction is less than the other species. This study will be used in offering objective data and landscape planning for making comfortable roads cape through the quantitative evaluation as each species and seasonal changes.