• 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.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2007.10a
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• pp.62-64
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• 2007

• Proceedings of the Korean Society of Environment and Ecology Conference
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• 2006.04a
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• pp.51-54
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• 2006

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2005.03a
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• pp.39-44
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• 2005

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2002.03a
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• pp.16-19
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• 2002

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2012.10a
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• pp.95-98
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• 2012

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2022.03a
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• pp.33-36
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• 2022

• Journal of The Geomorphological Association of Korea
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• v.18 no.3
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• pp.11-20
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• 2011

This study is quantitative landscape resources evaluation using Google panoramio geotagged photo collections. Panoramio geotagged photos are including the location information and time information. That is the valuation of the landscape resources and time series analysis allows. And Seasonal changes in preference for a particular landscape can be identified. This study used data from the general public has been produced by the Web 2.0 environment. So, the proposed method in this study will be complement the method using surveys and expert.

• 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.