Putting Table Cartograms into Practice

Section 1: Publication

Publication Type

Authorship

Hasan, M. R., Mondal, D., Tasnim, J., Schneider, K. A.

Title

Putting Table Cartograms into Practice

Year

2021

Publication Outlet

ISVC (1) 2021: 91-102

DOI

https://doi.org/10.1007/978-3-030-90439-5_8

ISBN

ISSN

Citation

Hasan, M. R., Mondal, D., Tasnim, J., Schneider, K. A.: Putting Table Cartograms into Practice. ISVC (1) 2021: 91-102

Abstract

Given an m×n table T of positive weights, and a rectangle R with an area equal to the sum of the weights, a table cartogram computes a partition of R into m×n convex quadrilateral faces such that each face has the same adjacencies as its corresponding cell in T, and has an area equal to the cell’s weight. In this paper, we examine constraint optimization-based and physics-inspired cartographic transformation approaches to produce cartograms for large tables with thousands of cells. We show that large table cartograms may provide diagrammatic representations in various real-life scenarios, e.g., for analyzing correlations between geospatial variables and creating visual effects in images. Our experiments with real-life datasets provide insights into how one approach may outperform the other in various application contexts.

Plain Language Summary

Section 2: Additional Information

Program Affiliations

GWF: Global Water Futures

Project Affiliations

GWF-CS: Computer Science

Submitters

Name	Role	Email	Institution

Publication Stage

Theme

Presentation Format

Additional Information

Computer Science Core Team, Refereed Publications