Database Reference
In-Depth Information
Silva, J., Times, V., Salgado,A., Souza, C., Fidalgo,
R., & Oliveira, A. (2008). A set of aggregation
functions for spatial measures. In Proceedings of
the ACM 14th International Workshop on Data
Warehousing and OLAP (pp. 25-32). New York:
ACM Press.
Zhang, D., & Tsotras, V. (2005). Optimizing spatial
Min/Max aggregations. The VLDB Journal , 14 (3),
170-181. doi:10.1007/s00778-004-0142-4
key terMS And defInItIonS
Stefanovic, N., Han, J., & Koperski, K. (2000).
Object-Based Selective Materialization for Ef-
ficient Implementation of Spatial Data Cubes.
IEEE TKDE , 12 (6), 938-958.
Spatial OLAP: Visual platform built espe-
cially to support rapid and easy spatio-temporal
analysis and exploration of data following a mul-
tidimensional approach comprised of aggregation
levels available in cartographic displays as well
as in tabular and diagram displays
Spatial Data Warehouse: Subject-oriented,
non volatile, time variant and integrated reposi-
tory of spatial data that is designed to facilitate
reporting and spatial analysis.
Multidimensional Model: Conceptual model
for the multidimensional analysis of huge datasets,
based on the concepts of dimensions, facts and
measures.
Geographic Information System: Informa-
tion system for capturing, storing, analyzing,
managing and presenting data that are spatially
referenced
Spatial Decision Support System: Interac-
tive, computer-based system designed to support
a user or group of users in achieving a higher
effectiveness of decision making while solving
a semi-structured spatial problem
Tao, Y., & Papadias, D. (2005). Historical
spatio-temporal aggregation. ACM Transac-
tions on Information Systems , 23 (1), 61-102.
doi:10.1145/1055709.1055713
Trujillo, J., Palomar, M., & Gómez, J. (2000). An
Object Oriented Approach to Multidimensional
Databases & OLAP Operations. International
Journal of Computer and Information Science ,
2 (3), 75-85.
Vassiliadis (1998). Modeling Multidimensional
Databases, Cubes and Cube Operations. In
Proceedings of 10th International Conference
on Scientific and Statistical Database Manage-
ment (pp. 53-62). Alamitos, CA: IEEE Computer
Society.
Voisard, A., & David, B. (2002). A Database
Perspective on Geospatial Data Modeling. IEEE
TKDE , 14 (2), 226-243.
Weibel, R., & Dutton, G. (2001). Generalizing
Spatial Data and Dealing with Multiple Rep-
resentations. Geographic Information Systems
and Science . New York: John Wiley & Sons (pp.
125-155)
Search WWH ::




Custom Search