Exploring Semi-Automatic Map Labeling

@article{Klute2019ExploringSM,
  title={Exploring Semi-Automatic Map Labeling},
  author={Fabian Klute and Guangping Li and Raphael L{\"o}ffler and M. N{\"o}llenburg and M. Schmidt},
  journal={Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems},
  year={2019}
}
  • Fabian Klute, Guangping Li, +2 authors M. Schmidt
  • Published 2019
  • Computer Science
  • Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
  • Label placement in maps is a very challenging task that is critical for the overall map quality. Most previous work focused on designing and implementing fully automatic solutions, but the resulting visual and aesthetic quality has not reached the same level of sophistication that skilled human cartographers achieve. We investigate a different strategy that combines the strengths of humans and algorithms. In our proposed labeling method, first an initial labeling is computed that has many well… CONTINUE READING
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    References

    SHOWING 1-6 OF 6 REFERENCES
    Finding Near-Optimal Independent Sets at Scale
    • 19
    • Highly Influential
    • PDF
    A packing problem with applications to lettering of maps
    • 240
    • Highly Influential
    • PDF
    Computers and Intractability: A Guide to the Theory of NP-Completeness
    • 45,969
    • Highly Influential
    • PDF
    Popmusic — Partial Optimization Metaheuristic under Special Intensification Conditions
    • 93
    • Highly Influential
    • PDF
    A New Algorithm for Weighted Partial MaxSAT
    • 61
    • Highly Influential
    • PDF
    PAL : A cartographic labelling library
    • 2
    • Highly Influential
    • PDF