• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.70-82
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• 2023

The recent surge of IT and data acquisition is shifting the paradigm in all aspects of life, and these advances are also affecting academic fields. Research topics and methods are being improved through academic exchange and connections. In particular, data-based research methods are employed in various academic fields, including landscape architecture, where continuous research is needed. Therefore, this study aims to investigate the possibility of developing a landscape preference evaluation and prediction model using machine learning, a branch of Artificial Intelligence, reflecting the current situation. To achieve the goal of this study, machine learning techniques were applied to the landscaping field to build a landscape preference evaluation and prediction model to verify the simulation accuracy of the model. For this, wind power facility landscape images, recently attracting attention as a renewable energy source, were selected as the research objects. For analysis, images of the wind power facility landscapes were collected using web crawling techniques, and an analysis dataset was built. Orange version 3.33, a program from the University of Ljubljana was used for machine learning analysis to derive a prediction model with excellent performance. IA model that integrates the evaluation criteria of machine learning and a separate model structure for the evaluation criteria were used to generate a model using kNN, SVM, Random Forest, Logistic Regression, and Neural Network algorithms suitable for machine learning classification models. The performance evaluation of the generated models was conducted to derive the most suitable prediction model. The prediction model derived in this study separately evaluates three evaluation criteria, including classification by type of landscape, classification by distance between landscape and target, and classification by preference, and then synthesizes and predicts results. As a result of the study, a prediction model with a high accuracy of 0.986 for the evaluation criterion according to the type of landscape, 0.973 for the evaluation criterion according to the distance, and 0.952 for the evaluation criterion according to the preference was developed, and it can be seen that the verification process through the evaluation of data prediction results exceeds the required performance value of the model. As an experimental attempt to investigate the possibility of developing a prediction model using machine learning in landscape-related research, this study was able to confirm the possibility of creating a high-performance prediction model by building a data set through the collection and refinement of image data and subsequently utilizing it in landscape-related research fields. Based on the results, implications, and limitations of this study, it is believed that it is possible to develop various types of landscape prediction models, including wind power facility natural, and cultural landscapes. Machine learning techniques can be more useful and valuable in the field of landscape architecture by exploring and applying research methods appropriate to the topic, reducing the time of data classification through the study of a model that classifies images according to landscape types or analyzing the importance of landscape planning factors through the analysis of landscape prediction factors using machine learning.

• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.1
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• pp.100-112
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• 2001

The purpose of this study is to construct the evaluation criteria based on the relative importance and various combination of each evaluation index and then to evaluate urban biotope in terms of conservation of species and habitat. After the standard of evaluation had been developed through the literature review, the relative importance of the evaluation index through expert survey was found out, and the evaluation model of biotope value has been established. The results of this study are as follows; 1) We have constructed the nineteen evaluation criteria through literature reviews, and have provided relative importance to each evaluation index of the diversity of typical species in biotope, afforestation rate, stratification, Hemeroby grads, and the diversity of landscape patterns based on the results of expert survey. and then we have constructed the evaluation system using the relative importance criteria. 2) To evluate urban biotope using the evaluation system constructed, we selected 14 sites. The final evaluation results of each site is as follows; The III grade areas are Seohan and Hwasung high-rise apartment at Beummul-Dong, Korea Men Power /Agency in Sungs 대 industrial zone, the adjacent area of St. Tongil, and Hyomyung elementary school. The II grade areas are the farm land behind the third Anshim Jugong apartment, and Ehyun park. The I grade areas are swampy land in front of Kangchon and Anshim construction site, water space with semi-natural style in front of Gangchon Woobang apartment, forest zone near page Temple at mt. Palgong, the edge area of Jisan and Gosan, and the tendril yard against Anshim middle school. The only grade IV area is the commercial zone near Taegu Department 3) It is highly useful to evaluate urban biotope using the evaluation criteria constructed for this research, the evaluation criteria we developed may be difficult to guarantee the ability for reproduction and recovery, the appearance-number of the rare and endangered species are difficult to estimate urban biotopes. In the future, it is highly useful to evaluate biotope in terms of conservation of species and habitat through its valuation criteria developed in this research and it is necessary to develop the evaluation criteria applicable to estimation of biotope inventory and reproduction of biotope.

• Journal of the Korean Institute of Landscape Architecture
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• v.28 no.5
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• pp.15-25
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• 2000

The purpose of this paper is to examine the visual evaluation structure about the formal changes of streetscape by the different moving speed in two alternative control plans for the building height and the setback regulation. The virtual reality system is applied to the experimental tool. Eighty-two experimental models are made in consideration of the height and the setback of the building regulation cased by Midou-suji street in Osaka City, Japan. and ten typical models are selected by pre-experiment. Since the changes of the landscape structure consists of the height and the setback of the building, four the evaluation items are set: grade of continuity, order, openness, preference. As there are eighty-two landscape models which are too many to be applied in this experiment, ten role models are drawn out and used in this experiment. The mean difference test, discriminant analysis, and multiple linear regression methods had been used for the statistical analysis methods. The results of this study are as follows; 1) It is found out the fact of the difference evaluation structure amount experiments models. 2) From the sketch analysis and interview, it is found out difference cognition structure by the moving speed and alternatives. 3) From the discriminant and regression analysis, it is found out that the evaluation value about continuity becomes low by the moving speed change from walking speed to driving speed. We suggest that continuous experiment should be made with a variety of groups and models, and general and universal results should also be come out of the experiments above.

• Journal of the Korean Institute of Landscape Architecture
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• v.33 no.6 s.113
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• pp.12-21
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• 2006

This study aims to examine what factors park users value in urban natural parte and to find ways to elevate user satisfaction for the creation and usage of an urban natural park To achieve this, the study relied on two methods: the descriptive method of researching publications and related scholastic writings, and the empirical study method including a survey of present condition and interviews with users. 'Breathing fresh air' and 'cleanliness' were the most important items and play facilities, cultural facilities, and landscape facilities were of lower orders of importance. This suggests that the 'sense of nature' is more important than functional facilities in urban natural parte. The importance of urban natural parks and the satisfaction visitors felt in them were measured, with mean results of 5.86 and 3.88, respectively, in terms of living surroundings. The impotance rating is higher than the satisfaction rating. Factor analysis resulted in six factors: benefits sought facilities for use, pleasant use, safety, accessibility, and management. Correlation and regression analysis showed only one positively correlated factor: benefits sought, suggesting that people recognize the importance of urban natural Parte through the benefits they gain in them and the satisfaction they find in urban parte depends on utilizing facilities. Therefore, in urban natural parks, people will find greater satisfaction through pursuit of the benefits they are seeking; improvements to park facilities should address the benefits that park users are seeking.

• Journal of the Korean Society of Industry Convergence
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• v.13 no.4
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• pp.227-233
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• 2010

This study analyzes the images of city residents on the landscape elements of the rural theme villages. The results of analysis bring the following conclusions. 1) Important factor of rural landscape with worth preserving is natural landscape such as dense forests, trees and creek. 2) Natural landscape such as forests and trees is evaluated high in image-assessment as well. However, it is evaluated low in the image of "Diversity", therefore, various species of trees need to be preserved. 3) In the future, people who spent their life only in the city would be the main stream of Green-tourism, and their structure of image-assessment needs to be reorganized.

• Korean Journal of Environment and Ecology
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• v.29 no.2
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• pp.263-278
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• 2015

This study is intended to evaluate the value of functional aspect from the viewpoint of habitat. The indicators that are used in biotope evaluations are various, but most of them use the criteria to evaluate the naturality. This evaluation method cannot appropriately reflect the functional characteristics coming from relation to the surrounding biotope. In this study, the connectivity, cohesion and diversity between individual biotope are quantitatively measured by a landscape index. It is hard to draw the functional value of individual biotopes because the landscape index related to connectivity, cohesion and diversity comes from a landscape having a number of biotopes. The concept of contribution was used to overcome this limitation. The concept of contribution is to quantify how much each individual biotope contributes to the connectivity, cohesion, and diversity in a certain range of landscape by deriving the amount of change in the landscape index according to the presence or absence of each individual biotope. In order to understand the characteristics of evaluation results in functional aspect, this research has done a comparative analysis of the previous research findings in the same target area. According to the result of the research, individual biotopes such as artificial forests, fragmented natural forests, and small planting sites were highly rated.

• Journal of Environmental Science International
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• v.11 no.6
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• pp.471-482
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• 2002

The purpose of this study is in identifying the attraction degree of Seonunsan Provincial Park by quantitative analysis. For this, landscape slide test was performed by questionaries. And multiple regression analysis and Factor analysis were performed far identifying the attraction degree of users. The attraction degree of natural resources was evaluated by questionaries about the landscape scene of 120 slides which was pictured at the chief visual corridor So it is considered that tourism route far attracting people into natural characteristic resources should be developed. It is identified once again that factors of $\boxdr$Naturalness$\boxul$,$\boxdr$Uniqueness$\boxul$and $\boxdr$Mysteriousness$\boxul$are important in natural landscape. And 16 explanation variables which explain the attraction degree of viewing landscape were classified as 4 factors. Those were defined as $\boxdr$Ability (FⅠ)$\boxul$, $\boxdr$Season harmony (FII)$\boxul$,$\boxdr$Simplicity (FⅢ)$\boxul$ and $\boxdr$Legibility(FⅣ)$\boxul$. It is identified that the variables of FⅠ, mysteriousness, is a representative image which expresses the characteristics of Seonunsan Provincial Park.

• Journal of Environmental Impact Assessment
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• v.32 no.6
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• pp.577-589
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• 2023

In Korea, the technical techniques for assessing visual impacts are standardized, but the methods for assessing the marine landscape itself are not standardized and need to be improved. In particular, in the landscape impact assessment of offshore wind power generation in Korea, it is necessary to recognize the landscape itself as a receptor and prepare a system that can evaluate the characteristics and sensitivity of the landscape. In this study, we propose an evaluation method for preparing a marine landscape quality assessment document that reflects the project characteristics of offshore wind power projects, and examine the possibility of utilization by applying it to actual project sites as an example. To evaluate the quality of marine scenery in offshore wind power projects, evaluation items of landscape characteristics, physical characteristics, and socio-cultural characteristics were evaluated based on the preliminary survey contents, and the quality of marine scenery was divided into five grades. Next, the evaluation criteria of the evaluation items were synthesized and the quality of the marine landscape was classified into preservation grade (grade 5), semi-preservation grade (grade 4), buffer grade (grade 3), semi-improvement grade (grade 2), and improvement grade (grade 1). In addition, the Sinan-Ui Offshore Wind Farm, an actual project site, was randomly selected to conduct the evaluation process and examine its utilization. This study aims to complement the existing method of visual impact assessment in offshore wind power projects and evaluate the quality of the marine landscape itself to effectively conserve marine landscape resources during offshore wind power projects. Rather than relying on mechanical and quantitative evaluation, this study is expected to be used as a basis for comprehensive understanding of the location and socio-cultural characteristics of the project site and for communication and cooperation with stakeholders.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 1999.03a
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• pp.52-53
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• 1999

• Journal of the Korean Society of Environmental Restoration Technology
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• v.22 no.2
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• pp.73-92
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• 2019

The purpose of this study is to establish the conservation and restoration areas for sustainable stream management by reflecting the ecological health, cultural characteristics, and the citizens' needs for stream uses. Therefore, we extended spatial ranges of stream evaluation to riparian areas in addition to stream sections. The evaluation indexes are stream naturalness, availability, biota assessment, and riparian characteristics such as land uses and legally protected areas. The grading system was unified with five classes. The spatial evaluation units for stream section are classified as right and left for laterally and 500m for longitudinally. For riparian areas, 30m and 100m of distance from the edge of stream are applied as spatial evaluation units. The six types of stream sections for management are conservation sections(priority/general) and restoration sections(priority/general) for ecological landscape and core and general sections for cultural landscape. The established system for evaluation and designating areas for stream management was applied to Jeonjucheon and Samcheon in Jeonju-si, and the conservation and restoration areas were designated reflecting the characteristics of urban and non-urban areas and left and right of stream sections. The results of this study will provide detailed guidelines for designating stream sections and practical management strategies for sustainable urban stream management.