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Gap-filling and Fault-detection for the life under your feet dataset

Gap-filling and Fault-detection for the life under your feet dataset. Locations. Soil Temperature Dataset. Splitting into PC’s [raw] (notice faults). mean. slope. PC2. PC1. Splitting into PC’s [censor + correct]. mean. slope. PC2. PC1. Example of censoring. Good location.

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Gap-filling and Fault-detection for the life under your feet dataset

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  1. Gap-filling and Fault-detection for the life under your feet dataset

  2. Locations

  3. Soil Temperature Dataset

  4. Splitting into PC’s [raw] (notice faults) mean slope PC2 PC1

  5. Splitting into PC’s [censor + correct] mean slope PC2 PC1

  6. Example of censoring Good location Outliers

  7. Reconstruction using first 4 temporal PC’s

  8. With PC’s / Without PC’s

  9. Cipriansapproximate trick Y’Y = VD2V’ Let U = YVD-1 Y = UDV’ YY’ = UDV’VDU’ = UD2U’

  10. Right eigenvector reconstruction

  11. Left eigenvector reconstruction

  12. Right vector / Left vector map

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