Database Paper Browser

Back to papers

LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics

Summary: LIBKDV: a versatile kernel density visualization library for geospatial analytics. Complexity-optimized algorithms enable high-resolution KDV on large-scale data, accelerating computation and enabling bandwidth-tuning and spatiotemporal analyses beyond existing tools. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12842
Venue
VLDB
Year
2022
Pagerank
-
Overall Rank
13,220 | 8.04%
DOI
10.14778/3554821.3554855

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,495 Fast Network K-function-based Spatial Analysis 2022 VLDB 4.3341665e-05
11,002 LION: Fast and High-Resolution Network Kernel Density Visualization 2024 VLDB 4.1945683e-05
11,128 LARGE: A Length-Aggregation-based Grid Structure for Line Density Visualization 2024 VLDB 4.1945683e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers