Rendering effective route maps

Citations Over TimeTop 1% of 2001 papers

Abstract

Route maps, which depict a path from one location to another, have emerged as one of the most popular applications on the Web. Current computer-generated route maps, however, are often very difficult to use. In this paper we present a set of cartographic generalization techniques specifically designed to improve the usability of route maps. Our generalization techniques are based both on cognitive psychology research studying how route maps are used and on an analysis of the generalizations commonly found in handdrawn route maps. We describe algorithmic implementations of these generalization techniques within LineDrive, a real-time system for automatically designing and rendering route maps. Feedback from over 2200 users indicates that almost all believe LineDrive maps are preferable to using standard computer-generated route maps alone.

Related Papers

• Geoinformation Generalization by Aggregation(2016)
• Automated Generalization-Chain and Cartographic-Generalization Process-Control Model(2006)
• Theory and Technique Model of Automated Cartographic Generalization Chain(2006)
• → Analysis on Curve Fit Algorithm about Line Generalization in Map Generalization(2009)
• Mapping generalization based on 1∶10 000 land use map(2011)