Sentences with phrase «spatiotemporal data»

Time history tied to a particular mode of time / space variance in a spatiotemporal data set (see «Principal Components Analysis»).

A procedure by which a spatiotemporal data set is decomposed into its leading patterns in both time (see «Principal Component») and space (see «Empirical Orthogonal Function») based on an orthogonal decomposition of the data covariance matrix.

The strengths of satellite remote sensing information can help overcome traditional field limitations and spatiotemporal data gaps to provide the public health community valuable exposure data.

The five dimensional (5D) colorimetric technique is able to graph spatiotemporal data (data that includes both space and time).

The method, called a five dimensional (5D) colorimetric technique, is able to graph spatiotemporal data (data that includes both space and time), which has not previously been achieved.

Not exact matches

But it inherits these data from a particular spatiotemporal locus.

If one follows Whitehead here, the most one can say about laws is that (A) no known data indicate that examined instances of contemporary laws constitute the complete class of instances, and that (B) we have reasonable grounds for holding laws to be unrestrictedly universal within a certain spatiotemporal scope (whereas we can, by experimentation, know that accidental universals are closed or subject to exceptions).

The fine grain of the epidemiological data reveals the infection dynamics at an unusually high spatiotemporal resolution.

These experimental data establish the retromer complex as a key spatiotemporal regulator of IFNAR endosomal sorting and a new factor in type - I IFN - induced JAK / STAT signalling and gene transcription.

His works are based on spatiotemporal compositions in which the musical and visual material is reduced to a minimum: sine waves, sound pulses, pixels of light and numerical data.

Mike's work, like that of previous award winners, is diverse, and includes pioneering and highly cited work in time series analysis (an elegant use of Thomson's multitaper spectral analysis approach to detect spatiotemporal oscillations in the climate record and methods for smoothing temporal data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measurements).

Relevant spatiotemporal covariates including survey date, year, latitude, longitude, elevation and grid cell elevation differences were also included as predictors, and observations from manual snow surveys at stations located throughout BC were used as target data.

We don't even have the data needed to intelligently initialize the models we have got, and those models almost certainly have a completely inadequate spatiotemporal resolution on an insanely stupid, non-rescalable gridding of a sphere... the ongoing failure of the GCMs to actually predict or hindcast anything at all particularly accurately outside of the reference interval.»

They use different computational methods to e.g. average or smooth the data over spatiotemporal gaps, and they «adjust» the data differently for poorly known or even unmeasurable things such as UHI.

The Web Application Developer works to develop web - based applications for dynamic analysis and visualization of large spatiotemporal climate datasets, with a secondary responsibility of maintaining existing web - based climate data applications.

Similar to the meta - data of a computer file, contextual details include information about the information itself, such as the information's spatiotemporal context of encoding, its source, and its veracity.

Principal Components Analysis (PCA) is a traditional tool for representing a large spatiotemporal dataset in terms of a smaller number of leading patterns of variation in the data.

Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter