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feat(clustering): add AreaClusterProvider for on-demand spatial clustering and 2.72M buildings demo - #1811
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…ering and 2.72M buildings demo - Add AreaClusterProvider functional interface and AreaCluster data model to decouple cluster delivery from upfront in-memory collections - Add AreaClusterProviderAlgorithm ScreenBasedAlgorithm implementation that queries spatial providers using visible camera bounds and zoom level - Add ClusterManager.setAreaClusterProvider convenience method and automatic viewport bounds propagation - Add tools/preprocess_buildings.py to build hierarchical multi-zoom spatial pyramids using greedy radius clustering with guaranteed badge separation - Add BinarySpatialPyramidStore memory-mapping .scbin spatial pyramids with zero-copy kernel page caching and sub-millisecond binary search queries (requiring cluster size >= 2 and omitting isolated single buildings below minZoomForLeafMarkers) - Add BuildingMegaClusterDemoActivity showcasing 2,719,379 building coordinates with Hansel & Gretel candy cottage leaf markers, Map/Satellite/Hybrid layer switcher, and broadcast receiver for demo automation - Update clustering.api binary compatibility declarations
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Summary
Decouples cluster data delivery from upfront in-memory collections by introducing a reactive, area-based callback clustering architecture (
AreaClusterProvider). Demonstrates sub-millisecond querying and zero heap exhaustion on a real-world dataset of 2,719,379 building coordinates on Android.Key Changes
AreaClusterProvider<T>: Functional interface invoked byClusterManagerwith visible cameraLatLngBoundsand current zoom level.AreaCluster<T>: Lightweight, immutableClusterimplementation that models both composite clusters (size >= 2) and leaf markers (size == 1).AreaClusterProviderAlgorithm<T>:ScreenBasedAlgorithmthat bridges viewport camera bounds to the area provider.ClusterManager.setAreaClusterProvider(...): Convenience method to bind area providers with automatic main-thread projection viewport synchronization.tools/preprocess_buildings.py: Offline Python tool to generate non-overlapping multi-resolution spatial pyramids (.scbin) using greedy radius clustering with spatial hash acceleration.BinarySpatialPyramidStore: Zero-copy, memory-mapped spatial reader that queries latitude-sorted records using binary search in < 1ms.BuildingMegaClusterDemoActivity: Showcase activity with real-timeMap,Satellite, andHybridlayer toggling, custom Hansel & Gretel candy house markers, and clean cluster separation.