STIMP
0.1.0
  • Installation
  • Usage
  • Train baselines
  • Four representative coastal ocean area analysis
    • Pearl River Estuary
    • Northern Gulf of Mexico
    • Chesapeake Bay
      • Imputation with trained STIMP in the Chesapeake Bay
      • Prediction performance of STIMP in the Chesapeake Bay
      • Case study of prediction performance in the Chesapeake Bay
    • Yangtze River Estuary
  • Supplementary main results
STIMP
  • Four representative coastal ocean area analysis
  • Chesapeake Bay
  • View page source

Chesapeake Bay

Chesapeake Bay is one of the most productive estuaries in the United States.

  • Imputation with trained STIMP in the Chesapeake Bay
    • Fig 5d: Missing rate is equal to 0.1
    • Fig 5d: Missing rate is equal to 0.5
    • Fig 5d: Missing rate is equal to 0.9
  • Prediction performance of STIMP in the Chesapeake Bay
    • Supplementary Fig 4c: imputation reduces the mean square error of prediction
    • Supplementary Fig 2c: overall prediction performance in terms of mean square error
    • Supplementary Fig 4c: imputation reduces the mean absolute error of prediction
    • Fig 2b: overall performance in term of mean absolute error
    • Fig 5e: mean absolute error of PredRNN
    • Fig 5e: mean absolute error of STIMP
    • Fig 5e: improvement of STIMP compared to PredRNN
  • Case study of prediction performance in the Chesapeake Bay
    • Fig 5f: Predicted Chl_a of XGBoost, STIMP and PredRNN at Position 1
    • Fig 5f: Predicted Chl_a of XGBoost, STIMP and PredRNN at Position 2
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