Sentences with phrase «spatial correlation using»

We checked the validity of the assumed covariance model for spatial correlation using the Monte Carlo algorithm and empirical semi-variogram as described in Supplementary File 1.

«When we compared the spatial correlation using datasets that include only magnitude 3 - plus earthquakes, there was no change,» said Pollyea, adding that a larger reduction in wastewater injection volumes is needed to reduce the dangers of large magnitude earthquakes.

Not exact matches

To further test the generalizability of this model, Parise and Ernst ran additional computer simulations, where they used the Multisensory Correlation Detector model to replicate several previous findings on the temporal and the spatial aspects of multisensory perception.

Using spatial correlation functions to quantify the differences between emergent cell lineage segregation patterns, we find that strong adhesion often, but not always, maximizes the size of clonal cell clusters on flat surfaces.

Longitudinal mixed models were also used to estimate the effect of vaccine dose on mean log - transformed antibody levels over time, using a spatial exponential covariance structure to model the correlation between measurements from the same individual while taking into account the number of study days between measurements.

Functional connectivity is typically measured using one of three approaches: (1) regression analysis using a seed region of interest (Greicius et al., 2003; Fox et al., 2005), (2) full or partial correlation analysis of multiple regions of interest (Ryali et al., 2012), or (3) independent component analysis (ICA) of the entire imaging dataset to identify spatial maps with common temporal profiles (Beckmann and Smith, 2004; Cole et al., 2010).

We first demonstrate less variability of global Pearson correlations with respect to the two chosen networks using a sliding - window approach during WM task compared to rest; then we show that the macroscopic decrease in variations in correlations during a WM task is also well characterized by the combined effect of a reduced number of dominant CAPs, increased spatial consistency across CAPs, and increased fractional contributions of a few dominant CAPs.

To test that I varied the data sources, the time periods used, the importance of spatial auto - correlation on the effective numbers of degree of freedom, and most importantly, I looked at how these methodologies stacked up in numerical laboratories (GCM model runs) where I knew the answer already.

Degrees of freedom is commonly used in statistics, but can also describe how much information you really need to describe something after stripping away redundant information (spatial correlation).

The climate community does not seem to exercise such care, and when their poor use of methods is pointed out they just ignore it and carry on (I could give scores of examples, from improper use of principal components, data mining, data snooping, spatial correlation, upside down data, single cause fallacy... and now uniform priors).

They calculated the so - called shape asymmetries from the seismic data and found each coefficient was essentially zero at activity minimum and rose in precise spatial correlation with rising surface activity, as measured using Ca II K data from Big Bear Solar Observatory.

Linear statistics were used first: area - averaged and Australia - wide spatial correlations of STR intensity and position with precipitation in south - west eastern Australia reveal that STR intensity has a much stronger and more widespread relationship with precipitation in both seasons.

For example, Jolliffe and Primo (2008)(hereafter JP08) used a data set which they estimated, after adjusting for temporal and spatial correlations, to have approximately 17 temporal and 25 spatial degrees of freedom.

Pattern correlations have been used because they are simple and are insensitive to errors in the amplitude of the spatial pattern of response and, if centred, to the global mean response.