$$\end{document} This function centres observations A i (m) about the spatial mean and gauges the correlation between observations k time steps apart.
In the future, data will be collected from many rain gauges and the correlation between rainfall and HI peaks will be studied in depth, paying particular attention to the localized spatial and temporal distribution of heavy rainfall.
Moreover, a very dense network of gauges is needed, as the correlation between the measurements taken in two rain gauges is poor even at 500 m distance over time scales of 30 min [4].
We quantified heterosis and inbreeding depression in two predominantly self-compatible (SC) and seven SI populations in a field common garden experiment within the species' native range and examined the correlation between these metrics to gauge the similarity in their genetic basis.
The correlation between CMORPH and gauge data is the highest.
On the contrary, the correlation between 3B42 RT and gauge data is more scattered; statistically, this results in lower bias.
To gauge the significance of the correlation on a smaller number of independent loci, we randomly selected 1,000 positions from each chromosome, none of which are within 150 bases of each other, and obtained P-values between 8.2×10−8 and 2.2×10−308.
The basis of this method is the correlation between applied bending moment, determined from surface mounted strain gauges, and transverse shear force.
In contrast, the correlation between two identical measurements (i.e. two different blood pressure gauges) that measure the same parameter would be expected to be much higher.
