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3D Adjacency Spatial Query using 3D Topological Network Data Model  

Lee, Seok-Ho (서울시립대학교 공간정보공학과)
Park, Se-Ho ((주)케이티네트웍스)
Lee, Ji-Yeong (서울시립대학교 공간정보공학과)
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Abstract
Spatial neighborhoods are spaces which are relate to target space. A 3D spatial query which is a function for searching spatial neighborhoods is a significant function in spatial analysis. Various methodologies have been proposed in related these studies, this study suggests an adjacent based methodology. The methodology of this paper implements topological data for represent a adjacency via using network based topological data model, then apply modifiable Dijkstra's algorithm to each topological data. Results of ordering analysis about an adjacent space from a target space were visualized and considered ways to take advantage of. Object of this paper is to implement a 3D spatial query for searching a target space with a adjacent relationship in 3D space. And purposes of this study are to 1)generate adjacency based 3D network data via network based topological data model and to 2)implement a 3D spatial query for searching spatial neighborhoods by applying Dijkstra's algorithms to these data.
Keywords
Spatial Neighborhoods; 3D Spatial Query; Network Data Mode; 3D Topological Data Model;
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Times Cited By KSCI : 3  (Citation Analysis)
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