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Navigable Space-Relation Model for Indoor Space Analysis  

Lee, Seul-Ji (서울시립대학교 공간정보공학과)
Lee, Ji-Yeong (서울시립대학교 공간정보공학과)
Publication Information
Spatial Information Research / v.19, no.5, 2011 , pp. 75-86 More about this Journal
Abstract
Three-dimensional modeling of cities in the real-world is an essential task for city planning and decision-making. And many three-dimensional city models are being developed with the development of wireless Internet and location-based services that identify the location of users and provide the information increases for consumers. Especially, in case of urban areas of Korea, indoor space modeling as well as outdoor is needed due to the high-rise buildings densities. Also location-based services should be provided through spatial analysis such as the shortest path based on a space model. Many studies of three-dimensional city models are feature models. In a feature model, space is represented by combining primitives, and relationships among spaces are represented only if shared primitives are detected. So relationships between complex three-dimensional objects in space is difficult to be defined through the feature models. In this study, Navigable space-relation model(NSRM) is developed, which is topological data model for efficient representation of spatial relationships between objects based on the network structure.
Keywords
Navigable Space; Network Structure; Spatial Analysis; Space Relation;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 R. Billen, S. Zlatanova, P. Mathonet, F. Boniver, 2002, The dimensional model: a framework to distinguish spatial relationships. In: Richardson, D., van Oosterom, P. (Eds.), Advances in Spatial Data handling, 10th International Symposium on Spatial Data Handling. Springer, Berlin, pp. 285-298.
2 V. Coors, 2003, 3D GIS in Networking environments, Computer, Environment and Urban Systems, Vol. 27, no. 4, pp. 345-357.   DOI   ScienceOn
3 M. J. Egenhofer, J. R Herring, 1990, A mathematical framework for the definition of topological relationships, In: Proceedings of Fourth International Symposium on Spatial Data Handling, Zurich, Switzerland, pp. 803-813.
4 J. Lee, M-P. Kwan, 2000, A 3-D Object-Oriented Data Model for Representing Geographic Entities in Built-Environments, presented in 96th AAG at Pitts, PA, USA.
5 S. Zlatanova, A. Rahman, W. Shi, 2004, Topological models and frameworks for 3D spatial objects, Journal of Computers & Geosciences, vol. 30, no. 4, pp. 419-428.   DOI   ScienceOn
6 J. R Munkres, 1984. Elements of Algebraic Topology, Addison-Wesley, Menlo Park, CA
7 이석호, 박세호, 이지영, 2010, 3차원 네트워크 기반 위상학적 데이터 모델을 이용한 3차원 인접성공간질의, 한국공간정보학회지, 제18권, 제5호, pp.93-105
8 이석호, 이지영, 2011, 3차원 공간 질의를 위한 위상학적 데이터 모델의 검증, 한국공간정보학회지, 제19권, 제1호, pp. 93-105
9 J. Lee, M-P. Kwan, 2005, A Combinatorial Data Model for Representing Topological Relations among 3D Geographic Features in Micro-spatial Environments. International Journal of Geographical Information Science, vol. 19, no. 10, pp. 1039-1056.   DOI   ScienceOn
10 M. Molenaar, 1990, A formal data structure for 3D vector maps. In: Proceedings of EGIS'90, vol. 2. Amsterdam, The Netherlands, pp. 770-781.
11 M. Pilouk, 1996, Integrated modelling for 3D GIS, Ph. D. Dissertation, ITC, The Netherlands. pp. 200
12 A. Slingsby, J. Raper, 2008, Navigable Space in 3D City Models for Pedestrians, Advances in 3D Geoinformation Systems, Springer, Berlin, Heidelberg, pp. 49-64.
13 S. Zlatanova, 2000, 3D GIS for urban development, Ph. D. Dissertation, ITC, The Netherlands, pp.222.