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Map Generalization is one of the hotspot issues in GIS. It is the most imperative field for intelligence in GIS. The uncertainty and data quality of map generalization should be attached importance to in map generalization. The conventional methods of process of line generalization in map generalization are be introduced in this paper, and analysis decline in the quality of integrated because of uncertainty of method on process of line generalization currently. Author introduced the curve fit algorithm about line generalization in map generalization, then analyzed it in detail. Curve fit algorithm is better than conventional algorithm through analysis of experimental data.
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