1. J.T. Robinson, The K-D-B tree: a search structure for large multidimensional dynamic indexes, Ann Arbor, MI: Proceeding 1981 ACM-SIGMOD International Conference on Management of Data (1981), pp. 10–18
2. T. Matsuyama, L. Hao, M. Nagao, A file organization for geographic information systems based on spatial proximity, ScienceDirect. Comput. Vis. Graphics Image Process. 26, 303–318 (1984)
3. J. Dittrich, L. Blunschi, M.A. Vaz Salles, Indexing moving objects using short-lived throwaway indexes, in Advances in Spatial and Temporal Databases, vol. 5644 (Springer, Berlin, Heidelberg, 2009), pp. 189–207
4. H. Doraiswamy, A GPU-based index to support interactive spatio-temporal queries over historical data, in IEEE, IEEE 32nd International Conference on Data Engineering, Helsinki, Finland (2016)
5. P. Wu, Randomly projected KD-trees with distance metric learning for image retrieval, in International Conference on Multimedia Modeling, Advances in Multimedia Modeling, vol. 6524, Springer, Berlin, Heidelberg (2011), pp. 371–382