Title :
Distance Metric on Multidimensional Spatial Objects
Author :
Dai, H.K. ; Su, H.C.
Author_Institution :
Comput. Sci. Dept., Oklahoma State Univ., Stillwater, OK, USA
Abstract :
A distance metric for spatially extended objects provides a formal basis for analytical work in transformation-based multidimensional spatial access methods, including locality preservation of the underlying transformation, statistical analyses of the transformation-effect on spatial parameters and distribution, and distance-based spatial queries. We study the Hausdorff distance metric on the space of closed and bounded subsets in a multidimensional Euclidean space, and its restriction to convexity results in an explicit formulation in computation based on their boundary subsets.
Keywords :
indexing; query processing; statistical analysis; Hausdorff distance metric; distance-based spatial queries; multidimensional Euclidean space; multidimensional spatial objects; spatial indexing; spatial parameters; statistical analysis; transformation-based multidimensional spatial access methods; Computer science; Data models; Extraterrestrial measurements; Indexes; Spatial databases; Standards; distance metric; metric space; normed space;
Conference_Titel :
Computational Science and Its Applications (ICCSA), 2015 15th International Conference on
Conference_Location :
Banff, AB
DOI :
10.1109/ICCSA.2015.13