An algorithm for displaying a class of space-filling curves
Software—Practice & Experience
Gray Codes for Partial Match and Range Queries
IEEE Transactions on Software Engineering
Fractals for secondary key retrieval
PODS '89 Proceedings of the eighth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
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
Linear clustering of objects with multiple attributes
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Fractals for the classroom (vol. 1): strategic activities
Fractals for the classroom (vol. 1): strategic activities
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Optimal isosurface extraction from irregular volume data
Proceedings of the 1996 symposium on Volume visualization
Indexing values of time sequences
CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
Using a sequential index in terrain-aided navigation
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Refining an object-oriented GIS design model: topologies and field data
Proceedings of the 6th ACM international symposium on Advances in geographic information systems
Indexing field values in field oriented systems: interval Quadtree
Proceedings of the eighth international conference on Information and knowledge management
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
A conceptual framework for geographic knowledge engineering
Journal of Visual Languages and Computing
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With the extension of spatial database applications, during the last years continuous field databases emerge as an important research issue in order to deal with continuous natural phenomena during the last years. A field can be represented by a set of cells containing some explicit measured sample points and by arbitrary interpolation methods used to derive implicit values on nonsampled positions. The form of cells depends on the specific data model in an application. In this paper, we present an efficient indexing method on the value domain in a large field database for field value queries (e.g. finding regions where the temperature is between 20 degrees and 30 degrees). The main idea is to divide a field into subfields [15] in order that all of explicit and implicit values inside a subfield are similar each other on the value domain. Then the intervals of the value domain of subfields can be indexed using traditional spatial access methods, like R*-tree [1]. We propose an efficient and effective algorithm for constructing subfields. This is done by using the field property that values close spatially in a field are likely to be closer together. In more details, we linearize cells in order of the Hilbert value of the center position of cells. Then we form subfields by grouping sequentially cells by means of the cost function proposed in this paper, which tries to minimize the probability that subfields will be accessed by a value query. We implemented our method and carried out experiments on real and synthetic data. The results of experiments show that our method dramatically improves query processing time of field value queries compared to linear scanning.