Difference between revisions of "Exporting GIF of Time-Series Trend Analysis from Kriging"

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'''Introduction and Purpose'''
 
'''Introduction and Purpose'''
   
The ability to visualize meteorological data provides viewers with an alternative option to see the progression of cold fronts, heat waves and precipitation. Animating data has the ability to engage viewers in ways numerical data cannot.
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Animating data has the ability to engage viewers in ways numerical data cannot, and can demonstrate how a phenomenon is connected and evolves, through a series of events. The ability to visualize meteorological data via a time series animation, provides viewers with an option to see the progression of cold fronts, heat waves and precipitation, and can assist in forecasting events allowing agriculture specialist to plan crop planting, irrigation, harvesting and chemical application.
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In the example that will be demonstrated in this tutorial, precipitation data will be used to create a time series event that would be useful in reviewing historical data that can be used in cross analyzing weather events with floods or droughts, and to detect patterns.

Revision as of 23:09, 4 December 2022

Introduction and Purpose

Animating data has the ability to engage viewers in ways numerical data cannot, and can demonstrate how a phenomenon is connected and evolves, through a series of events. The ability to visualize meteorological data via a time series animation, provides viewers with an option to see the progression of cold fronts, heat waves and precipitation, and can assist in forecasting events allowing agriculture specialist to plan crop planting, irrigation, harvesting and chemical application.

In the example that will be demonstrated in this tutorial, precipitation data will be used to create a time series event that would be useful in reviewing historical data that can be used in cross analyzing weather events with floods or droughts, and to detect patterns.