The more common experience with autocorrelations are with time series, but what the author said is correct even in that context. A time series autocorrelation relates the same time series function at different times. At the simplest you plot the arrays X vs X where X[i] = f(t[i]). You then may complicate it further by some transformation g(X) vs X (e.g., moving average).