Applications of spatial data structures: Computer graphics, image processing, and GIS
Applications of spatial data structures: Computer graphics, image processing, and GIS
The design and analysis of spatial data structures
The design and analysis of spatial data structures
The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Information Processing Letters
Refining an object-oriented GIS design model: topologies and field data
Proceedings of the 6th ACM international symposium on Advances in geographic information systems
SAC '98 Proceedings of the 1998 ACM symposium on Applied Computing
Searching Multimedia Databases by Content
Searching Multimedia Databases by Content
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
The R+-Tree: A Dynamic Index for Multi-Dimensional Objects
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Indexing Values in Continuous Field Databases
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
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With the extension of spatial database applications, field oriented systems emerge as an important research issue in order to deal with continuous natural phenomena during the last years. It however has a large volume of data and efficient indexing methods for field data are necessary to overcome the performance obstacle. In special, we introduce indexing methods for field value queries (i.e. searching some regions where the temperature is more 20 degrees). We introduce the concept of subfield and show how we make use of this concept to index field values in field oriented systems. We present two implementation methods based on Quadtree space subdivision. We modify traditional linear quadtree implementation method for field value query processing using subfields. We analyze the performance of our methods. Experimentation with real terrain data shows that proposed indexing methods improve the query processing time of field value queries in comparison with the case of no indexing method.