Home › Spatial analysis › Fast Line Density Analysis
Fast Line Density Analysis QGIS 4 compatibility
Not QGIS 4 ready Quiet
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
A fast line density visualization plugin for geospatial analytics
About
This plugin is built based on an efficient solution, called LARGE, for generating line density visualization (LDV) with non-trivial accuracy guarantees under a single machine setting. Our preliminary experiment results show that this solution can achieve up to 291.8x speedups over the state-of-the-art solutions. One research article that is based on this solution is submitted to a prestigious conference in computer science. More details (e.g., technical parts and implementation details) will be released after this article is accepted.
| Author | Tsz Nam Chan, Bojian Zhu, Dingming Wu, Yun Peng, Leong Hou U |
|---|---|
| Downloads | 5,513 |
| Latest version | 1.3 |
| Last updated | 2025-03-19 (575 days ago) |
| Min QGIS | 3.0.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Quiet |
| Category | Spatial analysis |
| Tags | line density, geospatial analytics, large-scale, hotspot, python, analysis |
Homepage · Repository · Issue tracker · Official page
Alternatives in Spatial analysis
- Group StatsQGIS 4 ready
Stats and analysis for vector layers data
- Data PlotlyQGIS 4 ready
D3 Plots for QGIS
- CrayfishQGIS 4 ready
Tools for mesh layers QGIS
Related plugins
- Fast Density AnalysisNot QGIS 4 ready
A fast kernel density visualization plugin for geospatial analytics
- Iterative Density AnalysisNot QGIS 4 ready
Iterative kernel density analysis for points and lines with mosaic merging.
- Hotspot AnalysisNot QGIS 4 ready
This plugin implements LISA statistics needed for Hotspot and Cluster Analysis
- Extreme Value Classification for PolygonNot QGIS 4 ready
Task-Oriented Data Classification for Choropleth Maps <br/> Pre-request python packages: fiona, shapely, pysal, rtree, sklearn, dbf
- Hotspot Analysis v3QGIS 4 ready
Advanced detection of hotspots, coldspots, and spatial clusters. Implements Getis-Ord Gi, Local Moran’s I (Univariate), and Local Moran’s I
- PlanX GeoStats LabQGIS 4 ready
PlanX spatial analysis lab for QGIS planning workflows: data preparation, urban pattern scanning, hot spots, centers, exploratory models and
Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.