
Proceedings Paper
Cartographic symbol library considering symbol relations based on anti-aliasing graphic libraryFormat | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 1 August 2007
PDF: 12 pages
Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510P (1 August 2007); doi: 10.1117/12.759674
Published in SPIE Proceedings Vol. 6751:
Geoinformatics 2007: Cartographic Theory and Models
Manchun Li; Jiechen Wang, Editor(s)
PDF: 12 pages
Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510P (1 August 2007); doi: 10.1117/12.759674
Show Author Affiliations
Yang Mei, Wuhan Univ. (China)
Lin Li, Wuhan Univ. (China)
Published in SPIE Proceedings Vol. 6751:
Geoinformatics 2007: Cartographic Theory and Models
Manchun Li; Jiechen Wang, Editor(s)
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