Multilevel Visual Analysis of Aggregate Geo-Networks

A Metro Map-Inspired Visualization for Geographic Networks

Implemented by Jessica Rieger for the 193.166 Visualization course
Technical University Vienna · Winter Semester 2025/26

Explore multiple overlapping geographic networks with an intuitive metro-style visualization. Based on the research paper by Deng et al. (2024), this tool enables multilevel analysis of aggregate geo-networks within a coherent spatial context.

Documentation Repository

Screenshots

Overview

Multiple geo-networks displayed on a geographic map with metro-style edge stacking and distinct colors for each network.

Weight Filtering

Interactive dual-slider allows filtering edges by weight, revealing strong or weak connections in the network.

Node Highlighting

Hovering over nodes highlights all connected edges and neighboring nodes for easy path tracing.

Interactive Controls

Toggle map background, city names, adjust line width and spacing, and show/hide individual networks.

Key Features

Geographic Context

Networks are displayed on a real geographic map, preserving spatial relationships and enabling location-based analysis.

Metro-Style Stacking

Shared edges are stacked like metro lines, allowing multiple networks to be visualized without occlusion.

K-Coloring

Automatic color assignment ensures networks are visually distinguishable based on adjacency and crossing constraints.

Weight Filtering

Filter edges by weight to focus on strong connections or explore the full network structure.

Crossing Minimization

Simulated annealing optimizes edge stacking order to minimize visual crossings between networks.

Bézier Routing

Smart curve routing with collision detection creates smooth, readable edge paths.

Original Paper

Multilevel Visual Analysis of Aggregate Geo-Networks

Zikun Deng, Shifu Chen, Xiao Xie, Guodao Sun, Mingliang Xu, Di Weng, Yingcai Wu

IEEE Transactions on Visualization and Computer Graphics, Vol. 30, No. 7, July 2024, pp. 3135-3150

DOI: 10.1109/TVCG.2022.3229953