• Journal of the Korean Institute of Landscape Architecture
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• v.45 no.4
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• pp.104-117
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• 2017

This study compares the results of landscape image analysis using text mining techniques and factor analysis for Lotte World Tower, which is the first atypical skyscraper building in Korea, and identifies landscape images of the site to determine possibilities of use. Lotte World Tower's landscape image has been extracted from text mining analysis focusing on adjectives such as 'new', 'transformational', 'unusual', 'novelty', 'impressive', and 'unique', and phrases such as in the process of change, people's active elements(caliber, outing, project, night view), media(newspaper, blog), and climate(weather, season). As a result of the factor analysis, factors affecting the landscape image of Lotte World Tower were symbolic, aesthetic, and formative. Identification, which is a morphological feature, has characteristics of scale and visibility but it is not statistically significant in preference. Rather, the psychological factors such as the symbolism with characteristics such as poison and specialty, harmony with the characteristics of the surrounding environment, and beautiful aesthetic characteristics were an influence on the landscape image. The common results of the two research methods show that psychological characteristics such as factors that can represent and represent the city affect the landscape image more greatly than the morphological and physical characteristics such as location and location of the building. In addition, the text mining technique can identify nouns and adjectives corresponding to the images that people see and feel, and confirms the relationship between the derived keywords, so that it can focus the process of forming the landscape image and further the image of the city. It would appear to be a suitable method to complement the limitation of landscape research. This study is meaningful in that it confirms the possibility that big data can be utilized in landscape analysis, which is one research field of landscape architecture, and is significant for understanding the information of a big data base and contribute to enlarging the landscape research area.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.3
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• pp.1-10
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• 2007

As one of the important metropolitan cities in Asia, Seoul shows vibrant atmosphere in the night as well as daytime. Colorful signboards and outdoor lightings are consists of major night elements. In this research, nightscapes of four major streets in Seoul are photographed to analyze the image of Seoul at night. After preparing of slides, questionnaire survey is conducted to study people's subjective responses on the images of streets at night. After survey, SPSS 10.0 statistical program was used to analyze the results of subjective responses on the nightscapes in Seoul. According to the result, night streetscape 4(showing and business district)shows vibrant and interesting image. Meanwhile, streetscape 1(high-rise with exterior lighting in showing district)shows beautiful and harmonious image. Major factor's are named as 'harmonious' and 'vibrant'. Variable 'arranged' shows the highest coefficient to the variable 'harmonious'. Every variables except the variable 'warm' shows significant difference among the mean values of each variables.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.166-178
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• 2023

This study aims to introduce and assess CNN Deep Learning methods to analyze visual landscape images on social media with embedded user perceptions and experiences. This study analyzed visual landscape images by focusing on a healing place. For the study, seven adjectives related to healing were selected through text mining and consideration of previous studies. Subsequently, 50 evaluators were recruited to build a Deep Learning image. Evaluators were asked to collect three images most suitable for 'healing', 'healing landscape', and 'healing place' on portal sites. The collected images were refined and a data augmentation process was applied to build a CNN model. After that, 15,097 images of 'healing' and 'healing landscape' on portal sites were collected and classified to analyze the visual landscape of a healing place. As a result of the study, 'quiet' was the highest in the category except 'other' and 'indoor' with 2,093 (22%), followed by 'open', 'joyful', 'comfortable', 'clean', 'natural', and 'beautiful'. It was found through research that CNN Deep Learning is an analysis method that can derive results from visual landscape image analysis. It also suggested that it is one way to supplement the existing visual landscape analysis method, and suggests in-depth and diverse visual landscape analysis in the future by establishing a landscape image learning dataset.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.1
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• pp.65-77
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• 2009

This study conducted a comparative analysis between Koreans and foreigners on how they feel of the 'Oreum' so that the data could be used to conserve and utilize 'Oreum' as a brand of Jeju, which is one of the natural and original sceneries of the island along with Halla Mountain. Four aerial photo slides were selected to be assessed among 18 overlooked views of 'Oreums' through quasi-preliminary and preliminary surveys. The assessment group was divided into native and foreigner groups. Image and preference were measured based on 7 step categorization on 26 adjectives, and factor analysis was implemented. The selected factors from factor analysis reflected that calmness was recognized as common image identification variable to natives and foreigners. However, foreigners choose 'dynamics', 'peculiarity' and 'grandeur' in order to explain the image while Koreans selected words in the order of 'attractiveness', 'grandeur', 'dynamics' and 'peculiarity'. This means Koreans identify the image of 'Oreum' as absolute beauty while foreigners see the dynamics and relative peculiarity as its attractive point. As a result of factor score, preference and multiple regression analysis, Koreans selected 'calmness', 'attractiveness' and 'dynamics' as important variables to explain preference. On the other hand, foreigners choose 'dynamics' and 'calmness' as well as 'evenness', 'peculiarity' and 'simplicity'. This represents that foreigners are highly influenced by the structural peculiarity and simplicity on the image preference.

• 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.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.33 no.4
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• pp.1-9
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• 2015

This study is conducted to prove a hypothesis that Dokdo Island has "National Landscape Image," being a region with special meaning for Korean people. University students(51 Koreans and 44 foreigners) were surveyed on landscape images of Dokdo Island, and the statistical analysis of the survey responses was performed subsequently. The findings showed no substantial difference between the opinions of Korean men and women: Especially the photo of whole Dokdo was highly rated by Korean respondents as "considerably or very valuable and impressive, but also mysterious and symbolic at the same time." These are unique images of Dokdo Island, which are not found in responses to natural landscape of other national parks. Meanwhile, there were significant contrasts between the responses of Koreans and foreigners in every variables. Some landscape adjectives used as semantic differential scale demonstrate remarkable differences between Korean and foreign respondents, particularly on the photo of whole Dokdo: impressive(1.41), mysterious(1.25), symbolic (1.00), valuable(0.98), intimate(0.95), beautiful(0.93), interesting(0.85). There were substantial differences in responses between Korean and foreigners on two rock islands, which have names related with some national image: The Korean Peninsula Rock(0.57) and Independence Gate Rock(0.51). Finally, three primary factors drawn from the factor analysis were (1) national landscape image, (2) natural characteristics of Dokdo Island, and (3) spatiality of Dokdo Island.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2004.11a
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• pp.49-56
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• 2004

본 연구는 1997년 세계문화유산으로 지정된 수원화성의 야간경관조명연출에 따른 조명실태와 효과를 조사 분석하였다. 평가대상은 화성의 경관조명시설이 설치된 33개소 중 측정당시 설치가 완료된 성곽의 내 외부와 서북공심돈을 선정하였다. 평가방법은 야간에 조명현황조사 및 물리량의 측정을 실시하였다. 물리량은 피조면의 휘도, 색온도 및 색도를 측정하였으며, 이를 토대로 경관조명의 연출효과를 분석하였다. 분석결과, 전체적인 조명방식은 건축물 하단부에 설치된 지주등으로 상향조명을 하거나, 외곽 투광기를 이용한 전반조명이 병용되고 있었다. 조명연출실태는 성벽의 경우 연속된 성곽의 이미지를 강조하고, 빛의 콘트라스트를 이용하여 건축시설물을 강조함으로써 리듬감을 연출하였다. 색온도의 경우 성곽의 차가운 이미지를 보완하기 위하여 따뜻한 색온도의 광원을 사용하여 전체적 이미지를 안정적이고 부드럽게 표현하였다. 색도의 경우 전체적으로 황색의 색도가 나타났는데, 우리나라 전통건축에서 강조되어야 할 단청이나 부재를 위해서는 광원의 색채선정에 신중한 고려가 요구된다.

• Journal of Wetlands Research
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• v.15 no.3
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• pp.301-315
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• 2013

The purpose of this study is to investigate characteristics of hydromorpological structures that affect landscape preference and visual characteristics on the sections of the designated streams where have dynamic ecological characteristics. We evaluated the ecological status of the streams utilizing LAWA to assess hydromorpological structures of streams. We also investigated preference and visual characteristics of stream landscapes through Semantic Differential Scale(SD scale). The differences of visual images according to the characteristics of hydromorpological structures in the sites were analyzed by descriptive statistics, One-way ANOVA, and t-test. As a result, this study showed that sections represented as "good" ecological status are shown to be harmonious, beautiful, natural, and clean comparing to sections represented as "poor" ecological status. The hydromorpological structures that have significant impacts on the visual characteristics are considered as riparian vegetation, cross-sectional shape, and the artificial structures. Results of this study can help guide the stream restoration of the damaged stream to improving ecological function and positive landscape.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.2
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• pp.55-67
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• 2014

The historic cultural landscape of East lake in Kyung river area during Joseon dynasty was very outstanding that it had many attractions of scenic beauty, however, the Han river of today is being recognized as a natural landscape and as a place with low cultural and historical traits. This study applied landscape characteristics of the cultural space of Joseon Dynasty on visual image elements of Lynch to research the landscape characteristics. The research results are as follows. When East lake was applied to visual image elements, it was recognized as a 'superb' 'paths,' and the 'edge' which signifies the boundary showed its 'superb' clarity of the East lake. For the 'node,' a turning point of direction, Dumopo represented the 'superb' awareness. As East lake, Apgujung, and Jecheonjung represented the 'superb' awareness when 'landmark' among visual image elements of Lynch was applied to the cultural space, the awareness level and reputation were proportional to the visual image elements. When pattern, structure, and meaning of the cultural space were clear and had definite identity, the 'landmark' and 'district' elements were 'superb.' It was also identified that when awareness level of space was higher, the awareness of historic cultural landscape was high as well. Therefore, considering visual awareness level of the historic cultural landscape of Han river during restoration to investigate and to conduct case studies is considered to increase the awareness level of historicity and cultural character as well as restoration of the place.

• 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.