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Temporal-Spatial Analysis of Landscape Diversity using FRAGSTATS

FRAGSTATS를 활용한 경관다양성의 시공간적 분석

  • Kwon, Oh-Sung (Dept. of Landscape Architecture, Graduate School, Kyungpook National University) ;
  • Ra, Jung-Hwa (Dept. of Landscape Architecture, Kyungpook National University) ;
  • Ku, Ji-Na (Dept. of Landscape Architecture, Graduate School, Kyungpook National University) ;
  • Kim, Jin-Hyo (Dept. of Landscape Architecture, Graduate School, Kyungpook National University)
  • 권오성 (경북대학교 대학원 조경학과) ;
  • 나정화 (경북대학교 조경학과) ;
  • 구지나 (경북대학교 대학원 조경학과) ;
  • 김진효 (경북대학교 대학원 조경학과)
  • Received : 2015.04.02
  • Accepted : 2015.06.26
  • Published : 2015.06.30

Abstract

This research selected Daegu Metropolitan City representing a combination of natural space and urban space for this case study. To achieve this, a prerequisite was to set up an optimal block size to evaluate landscape diversity of the research site by using a RPR-Area Curve. Further, landscape diversity evaluation was conducted based on land cover map by using FRAGSTATS to analyze spatio-temporal changes. Notably, this research regarded it as the most significant to set forth criteria in order to apply landscape diversity to the development plans of the newtown and outskirt of a city under high pressure development. Results derived from this research are summarized as follows. According to the results derived from establishing the optimal block size, a size about $2km^2$ was analyzed to measure landscape diversity of the research site. Also, according to the results derived from land diversity evaluation based on land cover map, land diversity was highly measured around urban stream such as Nakdong River and Geumho River, and in particular, the value of landscape diversity was measured considerably high around the urban parks. Results derived from analysis on spatio-temporal changes of land diversity demonstrated that a certain level of urban development exerted a positive effect on an increase in land diversity, but consistent urban development lowered a value of landscape diversity. Results derived from regression analysis to set forth the optimal urban space showed that an urban area of a space about $2km^2$ exerted a positive effect at a rate of about 0~43.3% and a negative effect at a rate about 43.3~100%. In conclusion, the results of this research are considered to provide important basic data for future urban and landscape planning. Nonetheless, as only the layout on the 2D plane was analyzed in this research, further research in future is required to complexly consider diverse factors such as height of structure and change in visible real area arising from geographical features.

Keywords

References

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