Correlate time-series

You can use vq = interp1(x,v,xq) to interpolate the temp data so that it has 160 values. Then use R = corrcoef(A,B) to compute the correlation coefficient between the two time series. If one time series is shifted relative to the other, you may want to consider the cross correlation to measure the lag: r = xcorr(x,y).

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Sarah Yun 2019-12-27

Hello Adam,

I have 4 time series - they show temperature anomolies since around 1950.

They oscilate around 0.

Is it possible to interpolate them so they all have the same number of values and then do a cross correlation for each time-series against a temperature variable?

If so, what should I use for the xq value in the interp1 function?

Thank you.

Adam Danz 2019-12-28

Check out the documentation for the Xq variable

https://www.mathworks.com/help/matlab/ref/interp1.html#btwp6lt-1-xq

You could either use a scalar to define the number of points in the interpolated output or you could define a vector of x values that defines the sample points.

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