期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII Part 4
出版社：Copernicus Publications
摘要：Currently, demands on 3D GIS increase, so spatial data analysis in 3D space also is required. Especially as large-scale and complexindoor space has been developed, it is more important to analyze human behaviors in complicated 3D indoor space to find accident spotsor calculate evacuate routes. In order to do that, it is essential to represent topological relationships among the 3D entities in spatial datamodeling. So far, topological relationships have been expressed by feature-based data model based on B-rep. However, this data modelhas some limitations in maintaining topological relationships: complex geometric computations leading inefficiency in maintainingtopological consistency, unclear connectivity relationship, and big data volume. Then network-based topological data model based ongraph theory was raised to overcome these limitations. In this data model, because topological relationships in complex 3D space isdescribed as a simple network structure using nodes and edges, computational complexity to define adjacency and connectivityrelationships is expected to be reduced. For this reason, the network-based topological data model has been believed in more efficientthan feature-based data models for 3D spatial analysis with no practical tests yet. In this paper, to verify this general assumption, weperform comparative analysis about efficiencies on spatial queries between two data models through a practical implementation
关键词：GIS; Three-dimensional; Performance; Topological Data Model; Spatial Query; Database
