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http://dx.doi.org/10.7851/Ksrp.2020.26.1.101

Classification and Characteristic analysis of Mountain Village Landscape Using Cluster Analysis  

Ko, Arang (Div. of Forest Welfare Research, National Institute of Forest Science)
Lim, Jungwoo (Div. of Forest Welfare Research, National Institute of Forest Science)
Kim, Seong Hak (Div. of Forest Welfare Research, National Institute of Forest Science)
Publication Information
Journal of Korean Society of Rural Planning / v.26, no.1, 2020 , pp. 101-112 More about this Journal
Abstract
Recently, public awareness regarding mountain villages' landscapes is increasing. Thus, this study aimed to provide standards for conservation, management and creation of mountain village landscape by characterizing and classifying those exist. 286 mountain villages' data were collected and 19 variables - extracted from GIS spatial information and statistic data of mountain villages, chosen as right sources according to former studies - were utilized to conduct factor and cluster analysis. As a result of the factor analysis, 7 characteristics of the mountain villages' landscapes were defined - 'Location', 'Cultivation', 'Ecology·Nature', 'Tourism', 'Residence', 'Recreation'. The K-means cluster analysis categorized the mountain villages' landscapes into four types - 'Residential', 'Touristic', 'General', 'Environmentally protected'. The classification was examined to be appropriate by field assessment, and basic guidelines of mountain village landscape management were set. The results of this study are expected to be utilized planning and implementing regarding mountain village landscape in the future.
Keywords
Factor Analysis; K-means Cluster Analysis; Landscape Classification; Mountain Village;
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