A Principal Curve-based method for Geospatial Data Smoothing

What:
Presentation
When:
Wednesday Sep 28   10:50 AM to 11:10 AM (20 minutes)
Tags:
Principal curvesData smoothingRobustness
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We propose a principal curve-based method for geospatial data smoothing. Firstly we test its performance with traditional approaches using floating car data (FCD). Secondly we evaluate its robustness with spatial-temporal dependence using Spearman rank correlation analysis. Final results show that the proposed method not only takes precedence over traditional methods (Mean and Median) in accuracy (about 10%-15% higher in RMSE), but also performs more robust, showing a distinct changing trend of the original data. These findings demonstrate the feasibility of the principal curve-based method in geospatial data smoothing.
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LREIS (China)
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