Workflows

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Showing 22 results. Use the filters on the left and the search box below to refine the results.
Type: Kepler Tag: kepler
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Workflow Statistic_TypeAlias (1)

The workflow make statistic of meteorological data from one weather station. It's used to show how to use type alias in the comad.

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

Credits: User Leidou

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Workflow Statistic_portReference (1)

The workflow make statistic of meteorological data from one weather station. It's used to show how to use the port reference syntax in the comad path expression.

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

Credits: User Leidou

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Workflow Statistic_filter (1)

The workflow make statistic of meteorological data from one weather station. It's used to show how deletion syntax is used in the comad path expression to implement a filter actor.

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

Credits: User Leidou

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Workflow Statistic_creation (1)

The workflow make statistic of meteorological data from one weather station. It's used to show how to creation syntax is used in the comad path expression.

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

Credits: User Leidou

Uploader

Workflow Statistic_CompositeCoactor (1)

The workflow make statistic of meteorological data from one weather station. It's used to show how to use comad composite coactor.

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

Credits: User Leidou

Uploader

Workflow Statistic (1)

The workflow make statistic of meteorological data from one weather station. It shows generally how  a comad workflow is built up.

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

Credits: User Leidou

Uploader

Workflow two_station_RPlotter (1)

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: User Leidou

Uploader

Workflow three_station_RPlotter (1)

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: User Leidou

Uploader

Workflow one_station_SequencePlotter (1)

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: User Leidou

Uploader

Workflow one_station_RPlotter (1)

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: User Leidou

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