Hybrid indexing is a technique that combines multiple indexing methods to efficiently manage and query spatial data. This approach leverages the strengths of various indexing structures, such as R-trees and Quad-trees, to optimize performance in terms of both speed and memory usage. By integrating different methods, hybrid indexing enhances spatial data retrieval processes, making it easier to handle complex geospatial queries.
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