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)
Incoming Non-self Citations Over Time
Authors
- 1. Tsz Nam Chan
- 2. Pak Lon Ip
- 3. Leong Hou U
- 4. Weng Hou Tong
- 5. Shivansh Mittal
- 6. Ye Li
- 7. Reynold Cheng
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,496 | Fast Network K-function-based Spatial Analysis | 2022 | VLDB | 4.3300131e-05 |
| 10,839 | Large Language Models for Spatial Analysis Queries | 2025 | VLDB | 4.1905499e-05 |
| 11,005 | LION: Fast and High-Resolution Network Kernel Density Visualization | 2024 | VLDB | 4.1905499e-05 |
| 11,131 | LARGE: A Length-Aggregation-based Grid Structure for Line Density Visualization | 2024 | VLDB | 4.1905499e-05 |
| 11,336 | SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization | 2022 | SIGMOD | 4.1905499e-05 |
| 11,397 | LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics | 2022 | VLDB | 4.1905499e-05 |
| 11,420 | SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization | 2022 | VLDB | 4.1905499e-05 |
| 11,424 | SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization | 2022 | VLDB | 4.1905499e-05 |
| 11,503 | Fast Augmentation Algorithms for Network Kernel Density Visualization | 2021 | VLDB | 4.1905499e-05 |
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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 |
|---|---|---|---|---|
| 2,040 | QUAD: Quadratic-Bound-based Kernel Density Visualization | 2020 | SIGMOD | 9.7029698e-05 |
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