Abstract
In order to make fast 3D visualization and operation to be feasible for large-scale global vector data, in this paper, one method based on real-time simplification to vector data is presented. This method use a list of expression error limitation to simplify line objects in the iterative process, and the result is recorded by coding. In order to realize effective data organization, line objects are divided into different priority types according to its attributes and indexed with quadtree. In addition, proper original data with certain scales are suggested to select. At last, one demonstration is given, and the result shows that the method is efficient.
Keywords
- cooperative visualization
- geo-information
- large-scale vector data
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References
Jones, C.B., Ware, J.M.: Map Generalization in the Web Age. International Journal of Geographical Information Science 19(8-9), 859–870 (2005)
Harrower, M., Bloch, M.: MapShaper.org: A Map Generalization Web Service. IEEE Computer Graphics and Applications 26(4), 22–27 (2006)
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© 2007 Springer-Verlag Berlin Heidelberg
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Sun, M., Zhao, R., Hu, J., Guo, H. (2007). 3D Visualization Method of Large-Scale Vector Data for Operation. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2007. Lecture Notes in Computer Science, vol 4674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74780-2_31
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DOI: https://doi.org/10.1007/978-3-540-74780-2_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74779-6
Online ISBN: 978-3-540-74780-2
eBook Packages: Computer ScienceComputer Science (R0)