Digital earth is a virtual representation of our planet and a data integration platform which aims at harnessing multisource,
multi-resolution, multi-format spatial data. This paper introduces a research framework integrating progressive
cartographic generalization and transmission of vector data. The progressive cartographic generalization provides
multiple resolution data from coarse to fine as key scales and increments between them which is not available in
traditional generalization framework. Based on the progressive simplification algorithm, the building polygons are
triangulated into meshes and encoded according to the simplification sequence of two basic operations, edge collapse
and vertex split. The map data at key scales and encoded increments between them are stored in a multi-resolution file.
As the client submits requests to the server, the coarsest map is transmitted first and then the increments. After data
decoding and mesh refinement the building polygons with more details will be visualized. Progressive generalization and
transmission of building polygons is demonstrated in the paper.
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