Scatter Plot, Time-Averaged
The Time-Averaged Scatter Plot operation is In contrast to a scatter plot that simply creates an X-Y plot of all data points in a selected region for a single "time-step" (such as a day or a month). The time-averaged scatter plot operation creates an average of all the data points in a selected region over the selected time period, and then creates the scatter plot for the averaged values. This operation requires a minimum of two time-steps to create the output plot.
This operation features an option to turn on linear fitting, and to display the linear fitting results on the plot. The linear fitting option is also available for the single time-step scatter plot.
The linear least square fitting equation is expressed as Y = aX + b,
where the value a represents the slope or gradient of the line; and the value b represents the point at which the fitted line will cross the y-axis of the X-Y plot. Linear fitting also computes the correlation coefficient (r) and the root mean square (RMS) error.
This Technical Summary page is under development -- for information on this operation while the documentation is being prepared, please send a message to GES DISC Help.