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KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis

Summary: Near real-time kernel density visualization for spatial data up to 1.3M points, with interactive zoom/pan. Builds on efficient kernel density computation to enable fast exploration and direct comparison with QGIS/ArcGIS. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12438
Venue
VLDB
Year
2021
Pagerank
4.3341665e-05
Overall Rank
9,499 | 33.92%
DOI
10.14778/3476311.3476312

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
3,968 QUAD: Quadratic-Bound-based Kernel Density Visualization 2020 SIGMOD 6.5793715e-05
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