Cartographic symbol library considering symbol relations based on anti-aliasing graphic library

Yang Mei; Lin Li

doi:10.1117/12.759674

1 August 2007 Cartographic symbol library considering symbol relations based on anti-aliasing graphic library

Yang Mei, Lin Li

Proceedings Volume 6751, Geoinformatics 2007: Cartographic Theory and Models; 67510P (2007) https://doi.org/10.1117/12.759674
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

Cartographic visualization represents geographic information with a map form, which enables us retrieve useful geospatial information. In digital environment, cartographic symbol library is the base of cartographic visualization and is an essential component of Geographic Information System as well. Existing cartographic symbol libraries have two flaws. One is the display quality and the other one is relations adjusting. Statistic data presented in this paper indicate that the aliasing problem is a major factor on the symbol display quality on graphic display devices. So, effective graphic anti-aliasing methods based on a new anti-aliasing algorithm are presented and encapsulated in an anti-aliasing graphic library with the form of Component Object Model. Furthermore, cartographic visualization should represent feature relation in the way of correctly adjusting symbol relations besides displaying an individual feature. But current cartographic symbol libraries don't have this capability. This paper creates a cartographic symbol design model to implement symbol relations adjusting. Consequently the cartographic symbol library based on this design model can provide cartographic visualization with relations adjusting capability. The anti-aliasing graphic library and the cartographic symbol library are sampled and the results prove that the two libraries both have better efficiency and effect.

Citation Download Citation

Yang Mei and Lin Li "Cartographic symbol library considering symbol relations based on anti-aliasing graphic library", Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510P (1 August 2007); https://doi.org/10.1117/12.759674

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