Web cartographic generalization based on database generalization and SVG
Cui Weihong
Abstract
Cui Weihong
Abstract
A new approach using spatial indexing mechanism called z-values was proposed in order to improve the efficiency of Web cartographic generalization and represent spatial data with different scales. The method can effectively filter unrelated spatial data and derive spatial data with proper level of details. So this approach can effectively improve the efficiency of spatial data transmission across the Internet. The application server pushes vector descriptions to an SVG client for displaying. An SVG file can be edited effectively in simple text editors and can be generated easily from server-side tools. In addition to faster download speeds, the SVG's interoperability is also demonstrated. The experiment shows our approach is more efficient than the traditional one.
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A new approach using spatial indexing mechanism called z-values was proposed in order to improve the efficiency of Web cartographic generalization and represent spatial data with different scales. The method can effectively filter unrelated spatial data and derive spatial data with proper level of details. So this approach can effectively improve the efficiency of spatial data transmission across the Internet. The application server pushes vector descriptions to an SVG client for displaying. An SVG file can be edited effectively in simple text editors and can be generated easily from server-side tools. In addition to faster download speeds, the SVG's interoperability is also demonstrated. The experiment shows our approach is more efficient than the traditional one.
Key concepts: Scalable Vector Graphics, Computer science, Generalization, Search engine indexing, Interoperability, The Internet, Filter (signal processing), Database