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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2011.12
- 수록면
- 95 - 100 (6page)
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초록· 키워드
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Although Space Syntax is a well-known technique for spatial analysis, debates have taken place among some researchers because the Space Syntax discards geometric information as both shapes and sizes of spaces, and hence may cause some inconsistencies.
Therefore, this study aims at developing methods to recognize and manage spatial shapes for more precise space syntax analysis. To reach this goal, this study employed both a graph theory and binary spatial partitioning (BSP) tree to recognize and manage spatial information.
As a result, spatial shapes and sizes could be recognized by checking loops in graph converted from spatial shapes of built environment. Each spatial shape could be managed sequentially by BSP tree with hierarchical structure. Through such recognition and management processes, convex maps composed of the fattest and fewest convex spaces could be drawn.
In conclusion, we hope that the methods developed here will be useful for urban planning to find appropriate purposes of spaces to satisfy the sustainability of built environment on the basis of the spatial and social relationships in urban spaces.
Therefore, this study aims at developing methods to recognize and manage spatial shapes for more precise space syntax analysis. To reach this goal, this study employed both a graph theory and binary spatial partitioning (BSP) tree to recognize and manage spatial information.
As a result, spatial shapes and sizes could be recognized by checking loops in graph converted from spatial shapes of built environment. Each spatial shape could be managed sequentially by BSP tree with hierarchical structure. Through such recognition and management processes, convex maps composed of the fattest and fewest convex spaces could be drawn.
In conclusion, we hope that the methods developed here will be useful for urban planning to find appropriate purposes of spaces to satisfy the sustainability of built environment on the basis of the spatial and social relationships in urban spaces.
목차
Abstract
1. 서론
2. 공간구문론 고찰
4. 공간 형상 인식 방법 개발
3. 공간 정보의 관리 방법
5. 결론
참고문헌
참고문헌 (15)
참고문헌 신청
1. [학술지(정기간행물)] - 최재필 / 2003 / 인접행렬 고유벡터 성분비를 이용한 공간 분석 / 대한건축학회 논문집 계획계 19 (11) : 61 ~ 69
2. [학술지(정기간행물)] - 조형규 / 2010 / 공간의 가시성을 고려한 가중치 ERAM 모델의 적용 / 대한건축학회논문집 계획계 26 (08) : 55 ~ 62
3. [단행본] - March L / 1974 / The Geometry of Environmnet / Methuen
4. [학술지(정기간행물)] - Fuchs H / 1983 / qNear real time shaped display of rigid objects / Computer Graphics 17 (3) : 65 ~ 72
5. [단행본] - Steadman P / 1983 / Architectural Morphology / Pion
2. [학술지(정기간행물)] - 조형규 / 2010 / 공간의 가시성을 고려한 가중치 ERAM 모델의 적용 / 대한건축학회논문집 계획계 26 (08) : 55 ~ 62
3. [단행본] - March L / 1974 / The Geometry of Environmnet / Methuen
4. [학술지(정기간행물)] - Fuchs H / 1983 / qNear real time shaped display of rigid objects / Computer Graphics 17 (3) : 65 ~ 72
5. [단행본] - Steadman P / 1983 / Architectural Morphology / Pion
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UCI(KEPA) : I410-ECN-0101-2015-600-001265428