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"Researching and better understanding them is important if we want to be able to predict possible future climate tipping points caused by humans. While the slowdown seen in the first type of tipping point leads to a decrease in variability, autocorrelation, and skewness, the flickering in the second type leads to the exact opposite -- and, in some cases, to the impending tipping point not being recognized."

Hub, J. S., De Groot, B. L. & van der Spoel, D. g_wham—a free weighted histogram analysis implementation including robust error and autocorrelation estimates.

Pandit, R. & Laband, D. N. Spatial autocorrelation in country-level models of species imperilment.

The residuals for the north, northeast, centre-west and southeast regions show no autocorrelation, whereas a small amount of autocorrelation cannot be excluded for the south region.

The residuals for the north, northeast, centre-west and southeast regions show no autocorrelation, whereas a small amount of autocorrelation cannot be excluded for the south region.