Name
Abstract | ||
|---|---|---|
Area cartograms are used for visualizing geographically distributed data by attaching measurements to regions of a map and scaling the regions such that their areas are proportional to the measured quantities. A continuous area cartogram is a cartogram that is constructed without changing the underlying map topology. We present a new algorithm for the construction of continuous area cartograms that was developed by viewing their construction as a constrained optimization problem. The algorithm uses a relaxation method that exploits hierarchical resolution, constrained dynamics, and a scheme that alternates goals of achieving correct region areas and adjusting region shapes. It is compared favorably to existing methods in its ability to preserve region shape recognition cues, while still achieving high accuracy. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1145/288216.288250 | IEEE Visualization 2003 |
Keywords | Field | DocType |
cartography,data visualisation,geographic information systems,optimisation,area cartograms,constrained dynamics,constrained optimization problem,continuous cartogram construction,geographically distributed data visualization,hierarchical resolution,map topology,measurements,region shape recognition cues,relaxation method | Geographic information system,Computer vision,Data visualization,Visualization,Computer science,Relaxation (iterative method),Cartogram,Topological map,Artificial intelligence,Scaling,Constrained optimization | Conference |
ISBN | Citations | PageRank |
1-58113-106-2 | 21 | 2.89 |
References | Authors | |
2 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Donald H. House | 1 | 513 | 55.27 |
| Christopher J. Kocmoud | 2 | 21 | 2.89 |