Placing text labels on maps and diagrams
Graphics gems IV
An empirical study of algorithms for point-feature label placement
ACM Transactions on Graphics (TOG)
Parallel simulated annealing algorithms
Journal of Parallel and Distributed Computing
Cartographic Name Placement with Prolog
IEEE Computer Graphics and Applications
Boundary labeling: Models and efficient algorithms for rectangular maps
Computational Geometry: Theory and Applications
Journal of Visual Languages and Computing
Dynamic label placement for improved interactive exploration
NPAR '08 Proceedings of the 6th international symposium on Non-photorealistic animation and rendering
Particle-based labeling: Fast point-feature labeling without obscuring other visual features
IEEE Transactions on Visualization and Computer Graphics
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Lark: Coordinating Co-located Collaboration with Information Visualization
IEEE Transactions on Visualization and Computer Graphics
A zone-based approach for placing annotation labels on metro maps
SG'11 Proceedings of the 11th international conference on Smart graphics
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Situation maps play an important role in planning and decision making in emergency response centers. Important information such as operating units or hazards is usually shown on these maps. Arranging the huge amount of in-formation can be challenging for operators, as this information should always be visible while not occluding im-portant regions of the underlying geographic map. As large interactive whiteboards are increasingly replacing tradition-al analog maps, new ways to assist with arranging information can be provided. In this paper, we present a new approach for placing annotations automatically on top of a map. For finding the optimal placement, our metrics are based on geographic features, on the users' sketched input, and on the annotations geometry itself. Moreover, we also added additional features to minimize occlusions for multiple annotations. First results were highly promising and showed that our approach improves input performance while keeping an optimal view of the map.