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Answer: Spatial Indexing
The correct technique for efficient indexing and retrieval of geospatial data in a distributed computing environment is **Spatial Indexing**. This method involves creating specialized index structures that optimize data retrieval based on spatial criteria, significantly enhancing the speed and efficiency of queries related to spatial relationships, distances, and patterns. Popular spatial indexing techniques include R-tree and Quadtree, which organize spatial data in a manner that facilitates quick access and analysis.
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In a machine learning project involving geospatial data processing within a distributed computing environment, which technique ensures efficient indexing and retrieval of such data for analysis?
A
Geospatial Clustering
B
Spatial Indexing
C
Geospatial Replication
D
Spatial Partitioning
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