Spatial indexing techniques like R-trees enhance query performance by organizing data into hierarchical bounding boxes for efficient range and nearest neighbor searches. KD-trees and BallTrees support customizable distance metrics, while dimensionality reduction methods like PCA help mitigate high-dimensional inefficiencies in spatial queries.