![]() ![]() ![]() |
![]() |
|
|
![]() ![]() ![]() ![]() ![]() |
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Return to SPATIAL DATA MANAGEMENT The concepts abstracted from reality and represented through the dimensions in a Statistical Database (SDB) support the user to use them in query formulation and processing. Instead, all those useful properties involved in a query that cannot be obtained through dimension/s in a SDB (for example, the concept of adjacency) can be presented in a Geographical Database (GDB). This paper presents a conceptual approach to allow the end user, working in a Geographic Database (GDB) environment, to use data cube stored in a Statistical Database (SDB). In this context, we need to extend the geographic data structure with some special “functional attributes”. They support links between the above-mentioned environments through geographic dimension/s always implicitly or explicitly present in SDB. Therefore, the main objective of this paper is to propose a solution to answer queries involving data stored in both environments in a transparent way to the user. Then, a query language to support the integration of multidimensional operators with geographic operators is proposed. Finally, the main characteristics of the proposed approach are illustrated through some examples. Keywords: Statistical Database, Geographic Database, Complete Containment Function, Full Contains, Functional Attributes Proceedings of the 12th International Conference on Scientific and Statistical Database Management (SSDBM'00) DiSC'01 Copyright ©2002 ACM Inc. |