With the development of wireless communication technology and the widespread popularity of intelligent mobile terminals, lo-cation-based services have integrated into all aspects of people's lives.Among them, Top-k spatial preference query has important sig-nificance in fields such as geographic information systems, urban construction planning, resource allocation and tourism planning.Top-k spatial preference query evaluates spatial objects based on their surrounding features and returns k spatial objects with the highest level of evaluation.At present, research on Top-k spatial preference queries mainly focuses on Euclidean space and road network environments. This article analyzes and compares Top-k spatial preference query methods in Euclidean space and road network environments.
Top-k spatial preference queryEuclidean spaceroad network environmentR-tree indexgrid index
万方数据
维普
