Sentences with phrase «spatial correlation in»

They have done an extensive study of spatial correlation in part 1 of their study.

There is lots of spatial correlation in the data.

Not exact matches

«On the basis of time and spatial correlations, we conclude the DFW sequence may be the result of fluid injection at the SWD [saltwater - disposal] well,» they wrote in a paper published in March 2010 in The Leading Edge.

Application of an external electric field to the crystal sets the electrons in motion, again strongly influenced by the spatial correlations among all electrons.

The results showed that the spatial correlation between earthquakes and wastewater injection volume indeed decreased in 2016.

«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.

In particular, Brillouin optical correlation - domain reflectometry (BOCDR), which operates based on the correlation control of continuous lightwaves, is known to be an intrinsically one - end - access distributed sensing technique with high spatial resolution (< 1 cm).

In addition, the Honeycomb Maze enables researchers to study the correlation of spatial navigation performance with the activity of place cells in the hippocampus where there is a map of an animal's location in spacIn addition, the Honeycomb Maze enables researchers to study the correlation of spatial navigation performance with the activity of place cells in the hippocampus where there is a map of an animal's location in spacin the hippocampus where there is a map of an animal's location in spacin space.

The study reports that glaciers flowing to the coast on the western side of the Peninsula show a distinct spatial correlation with ocean temperature patterns, with those in the south retreating rapidly but those in the north showing little change.

The latter provides a more complete representation of the Arctic by taking spatial correlation into account through an extrapolating / interpolating in space.

In addition, temporal [17] and spatial [16,17] correlations between increased levels of HIF - 1α, the regulatory subunit of HIF - 1, and increased VEGF expression have been shown, indicating that HIF - 1 may control the expression of VEGF in the retina under hypoxic conditionIn addition, temporal [17] and spatial [16,17] correlations between increased levels of HIF - 1α, the regulatory subunit of HIF - 1, and increased VEGF expression have been shown, indicating that HIF - 1 may control the expression of VEGF in the retina under hypoxic conditionin the retina under hypoxic conditions.

The chemical composition of these decay products in relation to the substrate material, the various conservation and restoration historic phases is discussed along with their spatial distribution on the monument's surfaces and also in correlation with environmental and climatic data.

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.

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.

The spatial smoothness of T2 * images was greater at 3 T by less than 1 mm, suggesting that the greater extent of activation at 3 T beyond these spatial scales was not due primarily to increased intrinsic spatial correlations at 3 T. Rather, the increase in percentage of voxels activated reflects increased sensitivity for detection of brain activation at higher field strength.

We found no evidence of population structure and little evidence of spatial autocorrelation of parasite genotypes (correlation coefficients < 0.03 among parasite pairs in distance classes of 1 km, 2 km and 5 km; p value < 0.01).

One index capturing this could be the correlation between the spatial patterns in OLR and the surface IR flux over time (figure below taken from Benestad (2016)-RRB-.

in my paper indicates that the d - o - f of all the fields is significantly less (and sometimes much, much less) than what you would get in the zero spatial correlation case.

The latter provides a more complete representation of the Arctic by taking spatial correlation into account through an extrapolating / interpolating in space.

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.

The spatial patterns of our emission fluxes and observed methane — propane correlations indicate that fossil fuel extraction and refining are major contributors (45 ± 13 %) in the south - central United States.»

First of all, the observed changes in global mean temperatures are more easily calculated in terms of anomalies (since anomalies have much greater spatial correlation than absolute temperatures).

What is lacking is mainly the correlation between the models and real world in local and regional weather but this is also ever improving as the model time and spatial resolution improves.

It is striking to what extent they resemble the spatial pattern seen in the AR4 ensemble free - running version rather than the initiallised forecast, though there are also some correlations there too (for instance, west of the Antarctic peninsula, related to the ozone - hole and GHG related increase in the Southern Annular Mode).

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).

This spatial pattern is consistent with the air temperature — North Atlantic Oscillation (NAO) index correlation pattern, with maximum correlation in the near - Atlantic region, which decays toward the North Pacific.

Arthur Smith argues that the spatial correlation of ENSO is evidence against chaos, because chaotic systems can not (in Arthur's eyes) produce structures which correlate across large scales.

Under spatio - temporal chaos, correlations in the spatial dimension similarly decay exponentially with their own exponents.

But I suppose we can leave that to a study of the proper way of calculating a error due to spatial coverage, that error will be a function (at least in the math I've seen) involving the spatial correlation which varies considerably.

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.

Over time, these relationships vary in magnitude and spatial extent with the sign of the correlation changing between two 50 - year epochs.

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.

In the past couple of years at BEST, has there been any opportunity yet to look into clustering effects on your spatial model, i.e., correlation function.

Even with the generally large spatial coherence and correlation length scales of temperature anomalies at polar latitudes (e.g. Hansen et al. 1999; Chapman and Walsh 2007), none of the reconstruction methods can escape the basic limitation of few in situ observations in West Antarctica, and all exhibit less skill in this region compared with other regions of the continent.

The correlations are with the «mush», so any spatial influence should be handled in the averaging phase.

Dispersal, environmental correlation, and spatial synchrony in population dynamics.

We show that the modes responsible for the tropospheric AOT variability in the three datasets agree well in terms of correlation and spatial patterns.

Temporal trends will exist in those temporal series, meaning their spatial correlation calculations are impacted by temporal trends.

The running text in MBH98 stated: «Figure 3 shows the spatial patterns of calibration β, and verification β and the squared correlation statistic r2, demonstrating highly significant reconstructive skill over widespread regions of the reconstructed spatial domain [emphasis added]» and later: «β [or RE] is a quite rigorous measure of the similarity between two variables... For comparison, correlation (r) and squared - correlation (r2) statistics are also determined.

I think there are technical issue with how BEST is computing the correlation that is exacerbating the spatial smearing problem in their kriging function:

Even apart from the cherry picking issue, it is likely that these error bands do not take the spatial correlations into account, which, with the much larger number of proxies, are more severe than in Loehle and McC.

> clearly in California, the spatial correlation is poor, no?

You can see very close stations (in California for exemple) showing different trends... so clearly in California, the spatial correlation is poor, no?

And this is what I had in mind from previous discussions: a fairly large spatial correlation, like the 800-1200 km that can be found in the Hansen 1987 paper.

Part of the changes in the spatial correlations is expected to be due to convection and clouds, which too play a role for the GHG, in addition to influencing the planetary albedo.

However, the analysis was designed to minimize such errors, as the spatial correlation estimates are not sensitive to the absolute value but the changes in the spatial structure.

The spatial correlation between the OLR and T (2m) 4 (in degree Kelvin) estimated for each month over the period 1975 — 2002.

Pattern correlation - based detection studies account for spatial auto - correlation implicitly by comparing the observed pattern correlation with values that are realised in long control simulations (see Wigley et al., 2000).

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.