Name
Abstract | ||
|---|---|---|
Current geographical information systems (GIS) handle large amounts of geographical data that are usually stored in relational databases. GIS systems provide a possibility of spatial query evaluation on this data. As spatial queries are usually very expensive form the computational point of view, major database vendors developed special plug-ins in order to make retrieval of geographical data more efficient. For example, Oracle offers their Spatial Cartridge based on quad-tress, Informix offers the Spatial Data Blade based on R-trees, etc. This approach is suitable for those spatial queries, which select objects in certain user-defined area. It does not help so much in the case of analytical queries.On the other hand we can observe a fast development of so called OLAP systems, i.e. on-line analytical processing systems. The development of such systems has been originally motivated by the need to speed-up the process of analysis of huge amount of data stored in very large databases. |
Year | Venue | Keywords |
|---|---|---|
2001 | ISAS-SCI (1) | geographical on-line analytical processing |
Field | DocType | ISBN |
Data mining,Computer science,On line analytical processing | Conference | 980-07-7541-2 |
Citations | PageRank | References |
1 | 0.37 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zdenek Kouba | 1 | 55 | 10.13 |
| Petr Miksovský | 2 | 28 | 4.65 |
| Kamil Matousek | 3 | 25 | 7.02 |