Difference between revisions of "Stock assessment and data management"
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== Seasonality and periodicity detection == | == Seasonality and periodicity detection == | ||
| + | An algorithms applying signal processing to a time series of catch statistics. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is taken as the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram. | ||
| + | One experiment using this technique to predict fishing activity in the Indian Ocean is available [http://wiki.i-marine.eu/index.php/IOTC_Area_Predictive_analysis here]. | ||
Revision as of 16:21, 2 February 2015
Contents
Overview
Stock Assessment
Length-Weight relation
Vessels Transmitted Information
Vessels Trajectories Interpolation
Seasonality and periodicity detection
An algorithms applying signal processing to a time series of catch statistics. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is taken as the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram. One experiment using this technique to predict fishing activity in the Indian Ocean is available here.
