Topology-Preserving Line Densification for Creating Contiguous Cartograms
Nihal Z. Miaji, Adi Singhania, Matthias E. Goh, Callista Le, Atima Tharatipyakul, and Michael T. Gastner

TL;DR
This paper introduces a topology-preserving line densification method that ensures cartogram regions remain connected and non-overlapping during density-equalizing map projections, improving accuracy and speed.
Contribution
The authors propose a novel densification technique combined with a flow-based generator to create strictly topology-preserving cartograms.
Findings
Produces more accurate cartograms
Faster than alternative methods
Maintains shape fidelity
Abstract
Cartograms depict geographic regions with areas proportional to quantitative data. However, when created using density-equalizing map projections, cartograms may exhibit invalid topologies if boundary polygons are drawn using only a finite set of vertices connected by straight lines. Here we introduce a method for topology-preserving line densification that guarantees that cartogram regions remain connected and non-overlapping when using density-equalizing map projections. By combining our densification technique with a flow-based cartogram generator, we present a robust framework for strictly topology-preserving cartogram construction. Quantitative evaluations demonstrate that the proposed algorithm produces cartograms with greater accuracy and speed than alternative methods while maintaining comparable shape fidelity.
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Taxonomy
TopicsTopological and Geometric Data Analysis · Computational Geometry and Mesh Generation · Data Visualization and Analytics
