Communications of the ACM
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers
Map Warping for the Annotation of Metro Maps
IEEE Computer Graphics and Applications
Focus+Glue+Context: an improved fisheye approach for web map services
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Eigensolver methods for progressive multidimensional scaling of large data
GD'06 Proceedings of the 14th international conference on Graph drawing
Graph drawing by stress majorization
GD'04 Proceedings of the 12th international conference on Graph Drawing
Time-Space maps from triangulations
GD'12 Proceedings of the 20th international conference on Graph Drawing
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This paper presents a new algorithm for computing timedistance transformations of a road network based on modified multidimensional scaling. The algorithm is designed to perform on a realworld road network, and provides alternative visualisations for travel time cognition and route planning. Several extensions are explored, including user-centric and route-centric road map transformations. Our implementation of the algorithm can be applied to any locality where travel time road network data is available. Here, it is illustrated on road network data for a rural region in Ireland. Limitations of the proposed algorithm are examined, and potential solutions are discussed.