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Tag: comet

Comet workflow analyzes meteorological data coming from comet project (http://comet.ucdavis.edu/wiki/index.php/Main_Page). The main analysis steps are: 1.Collect hourly humidity data in ten days from two weather stations 2.Aggregate the hourly data based on a group of time window and calculate basic statistic data, like min, max etc, for the data aggregated in each window. 3.Calculate statistics of growing degree day for data in each window 4.Draw time-based trend graph for analysis and...

Created: 2010-06-15 | Last updated: 2010-06-15

Credits: Leidou

Comet workflow analyzes meteorological data coming from comet project (http://comet.ucdavis.edu/wiki/index.php/Main_Page). The main analysis steps are: 1.Collect hourly humidity data in ten days from three weather stations 2.Aggregate the hourly data based on a group of time window and calculate basic statistic data, like min, max etc, for the data aggregated in each window. 3.Calculate statistics of growing degree day for data in each window 4.Draw time-based trend graph for analysis a...

Created: 2010-06-15 | Last updated: 2010-06-15

Credits: Leidou

Comet workflow analyzes meteorological data coming from comet project (http://comet.ucdavis.edu/wiki/index.php/Main_Page). The main analysis steps are: 1.Collect hourly humidity data in ten days from one weather station 2.Aggregate the hourly data based on a group of time window and calculate basic statistic data, like min, max etc, for the data aggregated in each window. 3.Calculate statistics of growing degree day for data in each window 4.Draw time-based trend graph for analysis...

Created: 2010-06-15 | Last updated: 2010-06-15

Credits: Leidou

The workflow analyzes meteorological data coming from comet project (http://comet.ucdavis.edu/wiki/index.php/Main_Page). The main analysis steps are: 1. Collect hourly humidity data in ten days from one weather station 2. Aggregate the hourly data based on a group of time window and calculate basic statistic data, like min, max etc, for the data aggregated in each window. 3. Calculate statistics of growing degree day for data in each window 4. Draw time-based trend graph for analy...

Created: 2010-06-15 | Last updated: 2010-06-15

Credits: Leidou

Creator

Created: 2010-06-15 18:31:20 | Last updated: 2010-06-15 19:23:27

It contains workflows to demonstrate  the neat linear workflow structure got from comad. And the streaming mode and high adaptability (reusability) of the actor to the workflow with different data structure are also showed.

4 items in this pack