KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis
Summary: KDV-Explorer enables near-real-time kernel density visualization and exploratory zooming, panning, and scaling over million-point spatial datasets. Built on efficient KDV computation, it demonstrates sub-5-second interaction and compares favorably with QGIS and ArcGIS. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tsz Nam Chan (Hong Kong Baptist University)
- 2. Pak Lon Ip (State Key Laboratory of Internet of Things for Smart City; University of Macau)
- 3. Leong Hou U (State Key Laboratory of Internet of Things for Smart City; University of Macau)
- 4. Weng Hou Tong (State Key Laboratory of Internet of Things for Smart City; University of Macau)
- 5. Shivansh Mittal (University of Hong Kong)
- 6. Ye Li (State Key Laboratory of Internet of Things for Smart City; University of Macau)
- 7. Reynold Cheng (Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities; University of Hong Kong)
BibTeX Citation
@article{chan_vldb21,
title = {{KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis}},
author = {Chan, Tsz Nam and Ip, Pak Lon and U, Leong Hou and Tong, Weng Hou and Mittal, Shivansh and Li, Ye and Cheng, Reynold},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2655--2658},
doi = {10.14778/3476311.3476312},
url = {https://doi.org/10.14778/3476311.3476312},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,632 | Fast Network K-function-based Spatial Analysis | 2022 | VLDB | 5.2434488e-05 |
| 11,061 | Large Language Models for Spatial Analysis Queries | 2025 | VLDB | 5.093636e-05 |
| 11,213 | LION: Fast and High-Resolution Network Kernel Density Visualization | 2024 | VLDB | 5.093636e-05 |
| 11,334 | LARGE: A Length-Aggregation-based Grid Structure for Line Density Visualization | 2024 | VLDB | 5.093636e-05 |
| 11,533 | SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization | 2022 | SIGMOD | 5.093636e-05 |
| 11,615 | SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization | 2022 | VLDB | 5.093636e-05 |
| 11,619 | SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization | 2022 | VLDB | 5.093636e-05 |
| 11,697 | Fast Augmentation Algorithms for Network Kernel Density Visualization | 2021 | VLDB | 5.093636e-05 |
| 13,423 | LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics | 2022 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,755 | QUAD: Quadratic-Bound-based Kernel Density Visualization | 2020 | SIGMOD | 5.093636e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,465 | Scalable Kernel Density Classification via Threshold-Based Pruning | 2017 | SIGMOD |
| 2 | 11,334 | LARGE: A Length-Aggregation-based Grid Structure for Line Density Visualization | 2024 | VLDB |
| 3 | 11,213 | LION: Fast and High-Resolution Network Kernel Density Visualization | 2024 | VLDB |
| 4 | 11,533 | SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization | 2022 | SIGMOD |
| 5 | 13,298 | A Fast Line Density Visualization Plugin for Geographic Information Systems | 2025 | SIGMOD |
| 6 | 11,619 | SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization | 2022 | VLDB |
| 7 | 11,697 | Fast Augmentation Algorithms for Network Kernel Density Visualization | 2021 | VLDB |
| 8 | 11,755 | QUAD: Quadratic-Bound-based Kernel Density Visualization | 2020 | SIGMOD |
| 9 | 11,615 | SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization | 2022 | VLDB |
| 10 | 13,423 | LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics | 2022 | VLDB |