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아카데미 홈 명사특강 대학연구실탐방 조경실무 동영상강의 한국의 전통정원 학회별 논문
학회별 논문

한국건설관리학회
한국건축시공학회
한국도로학회
한국생물환경조절학회
한국생태학회
한국수자원학회
한국식물학회
한국실내디자인학회
한국자원식물학회
한국잔디학회
한국조경학회
한국지반공학회
한국하천호수학회
한국환경생물학회
한국환경생태학회

한국조경학회 / v.29, no.4, 2001년, pp.12-23
진경산수화 분석을 통한 산지 구릉 경관 유형의 분류 및 해석 -서울시를 중심으로-
( Pattern Classification and Characteristics Concerning Landscape on Mountains and Hills by Using a Landscape Picture -The Case of Seoul City- )
강명수; 규우슈우 대학대학원 인간환경학 연구과;
 
초 록
The research focused on the landscape of mountains and hills drawn in a landscape picture. The purpose of the research is to classify patterns of landscape drawning in landscape pictures and to clarify the characteristics of the pattern by a quantitative index. We selected 21 landscape pictures to understand the Landscape Setting Here(LSH) and Landscape Setting These(LST). We investigated size quantitative indices using 1 landscape picture. The index is a follow: altitude, Visual Distance, Angles, Angle of Appearance Size, Inclination, and Angle of Incidence. The following results were obtained by using this data. 1) It has been understood that we offer an important city view because the LSH of this research can establish understanding of the city structure. 2) We dividing 3 patterns by the LST space drawn in the landscape picture. 3 patterns are Ferry point, Beauty point, an Signal-fire point. 3) We clarified the landscape characteristics of each pattern and the characteristics between patterns by using the index according to this pattern. 4) We understood the problem concerning the Seoul city landscape examining the pattern of this research with the ordinance of Seoul city. It is necessary to standardized a system of pattern classification utilized in landscape pictures to establish a universally interpreted detailed quantitative index, which can be applied to research.
 
키워드
Landscape Setting Here(LSH);Landscape Setting There(LST);Landscape Picture;
 
한국조경학회지 / v.29, no.4, 2001년, pp.12-23
한국조경학회
ISSN : 1225-1755
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200111920837003)
언어 : 한국어
논문 제공 : KISTI 한국과학기술정보연구원
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