Efficiently Identifying Top Quality Feature Objects in Spatial Data
To select the top rank objects based on the quality of features in their spatial neighborhood. An attractive type of preference queries, which select the best spatial location with respect to the quality of facilities in its spatial area. Given a set D of interesting objects (e.g., candidate locations), a top-k spatial preference query retrieves the k objects in D with the highest scores. The featured score of a given object is derived from the quality of features (e.g., location and nearby features) in its spatial neighborhood. User preference queries are very important in spatial databases.