ISSN 2996-8223
International Journal of Computer Science and Technology Vol. 5, No. 5, May 2003 | pp. 33–40
DOI: 10.46882/2003/IJCST/000053
Research Article
Title: A Balanced Cell-Split Index Model for High-Density Geographical Database Systems
Names of Authors: John A. Smith¹, Mariam O. Alabi²
Authors’ Affiliations: ¹Department of Computer Science, University of California, Berkeley, USA; ²Department of Information Technology, Federal University of Technology, Minna, Nigeria.
Abstract:
Geographic Information Systems require advanced spatial look-up layers to execute multi-dimensional polygon matching and proximity searching without introducing long query latency patterns. Standard bounding-box layout methods suffer from severe performance bottlenecks as geographical database densities grow, inflating the data filtration path length significantly. This paper presents an optimized spatial index model, Balanced Cell-Split (BCS), created specifically for dense geometric record layouts. The framework divides complex topographical data vectors into dynamic, non-overlapping hierarchical cells using a localized quadrant matching formula. We benchmarked coordinate query speeds across a reference database containing 50 million geographical features under fluctuating request frequencies. The experimental results demonstrate a 24.5% reduction in average query retrieval timelines alongside an 18.2% enhancement in overall indexing resource utilization compared to traditional R-tree and quad-tree baselines. The memory footprint for index paths scales linearly, establishing a reliable storage blueprint for massive geospatial repositories.
Keywords: Spatial Indexes, Geographical Information Systems, Database Optimization, Geometric Coordinates, Data Architecture, Retrieval Latency.
Manuscript Timeline: Received: January 10, 2003; Revised: February 22, 2003; Accepted: March 12, 2003; Published: May 22, 2003.
Citation: Smith, J. A., & Alabi, O. M. (2003). A Balanced Cell-Split Index Model for High-Density Geographical Database Systems. International Journal of Computer Science and Technology, 5(5), 33–40.
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