Generalising spatial data and dealing with multiple representations R WEIBEL AND G DUTTON

@inproceedings{GeneralisingSD,
  title={Generalising spatial data and dealing with multiple representations R WEIBEL AND G DUTTON},
  author={}
}
    Highly Cited
    This paper has 141 citations. REVIEW CITATIONS

    Citations

    Publications citing this paper.
    Showing 1-10 of 87 extracted citations

    On-demand base maps on the web generalized according to user profiles

    International Journal of Geographical Information Science • 2012
    View 4 Excerpts
    Highly Influenced

    Template match of buildings and results analysis

    2010 18th International Conference on Geoinformatics • 2010
    View 4 Excerpts
    Highly Influenced

    Ucl Centre for Advanced Spatial Analysis

    Surface Networks, Sanjay Rana, Jeremy Morley
    2002
    View 3 Excerpts
    Highly Influenced

    142 Citations

    01020'99'03'08'13'18
    Citations per Year
    Semantic Scholar estimates that this publication has 142 citations based on the available data.

    See our FAQ for additional information.

    References

    Publications referenced by this paper.
    Showing 1-10 of 70 references

    Generalization of Spatial Data: Principles and Selected Algorithms

    Algorithmic Foundations of Geographic Information Systems • 1996
    View 4 Excerpts
    Highly Influenced

    b Three essential building blocks for automated generalisation

    R Weibel
    1995
    View 10 Excerpts
    Highly Influenced

    The development of a multi - scale GIS

    C Plazanet
    International Journal of Geographical Information Systems • 1995
    View 12 Excerpts
    Highly Influenced

    An algorithm for conflict identification and feature displacement in automated map generalisation

    W A Mackaness
    Cartography and Geographic Information Systems • 1994
    View 1 Excerpt
    Highly Influenced

    A spatial model for detecting ( and resolving ) conflict caused by scale reduction

    M WareJ, B JonesC
    1997

    Similar Papers

    Loading similar papers…