Abstract: Spatial indices are used by spatial databases to optimize spatial queries.We introduce a parallel spatial range query algorithm based on VoMR-tree index.The MR-tree is firstly augmented to store the nearest neighbors and constructs the Voronoi diagram.Then a range query algorithm based on VoMR-tree index is proposed.In processing a range query,the data partition method so that can improve the efficiency by parallelization in distributed database is discussed.The experimental results show that the proposed method improves the performance of range query processing in comparison with the widely-used methods.