Definition
Query processing in Spatial Network Databases (SNDBs) involves the following challenges: First, the distances between objects depend on their network connectivity and it is computationally expensive to compute these distances (e.g., shortest paths). Second, even when the distance can be approximated by simple vector distances, the query itself involves complex distance-based optimization problems. Several studies propose the use of Voronoi diagrams for spatial query processing in spatial networks. The ability of Voronoi diagrams to encode different geometric relationships based on arbitrary distance metrics in various spaces makes them ideal utilities to address the above challenges.
This entry shows the effectiveness of network Voronoi diagrams in answering two different spatial queries as case studies: k Nearest Neighbor (kNN) query finds the kclosest spatial objects to a given query...
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Shahabi, C., Sharifzadeh, M. (2017). Voronoi Diagrams for Query Processing. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_1462
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DOI: https://doi.org/10.1007/978-3-319-17885-1_1462
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