Sentence examples for forecast patterns from inspiring English sources

These classes are suitable for the application of RI models, which tend to produce time-invariant forecast patterns, whether the application is based on a non-declustered catalog, or on the use of declustering as was done by Helmstetter et al. (2006).

In either case our study aimed at identifying an appropriate subset of variables to forecast patterns in polychaete assemblages in relation to ongoing or predicted changes in environmental conditions.

We propose a systematic way to forecast patterns of future energy development and calculate impacts to species using spatially-explicit predictive modeling techniques to estimate oil and gas potential and create development build-out scenarios by seeding the landscape with oil and gas wells based on underlying potential.

Just what parts of the New York City metropolitan area will be hit hardest will become clearer as the low-pressure system moves north, but Mr. Morrin said that all the forecasting patterns put the storm on "a historically favorable track".

In light of this, forecasting patterns of recovery may be considerably more complicated than predicting the initial response to harvest and is unlikely to be feasible for many populations.

MEI, as an indicator of global climate pattern, was an important contributor for characterizing changing patterns of HFRS, which supports the notion that large-scale climate indices may be critical for forecasting patterns of disease risk, especially among larger geographic areas (Bi and Parton 2003; Hallett et al. 2004; Stenseth et al. 2003).

Some call this type of forecasting pattern recognition.

The model can also be used to help forecast potential patterns in future attacks, they add.

Whether we want to better forecast weather patterns, improve the accuracy of medical diagnoses, track the virility of Flappy Bird or analyze financial trends, we have no efficient way of processing the information.

Based on proprietary predictive analysis and bidding algorithms, ignitAd is able to forecast demand patterns at various price points and thus proactively predict the highest paying advertising source for each impression.

An integrated empirical optimization model using mathematical programming is developed to forecast cropping patterns and farm income under two scenarios (1) status quo without added storage capacity and (2) with added storage capacity in which existing barriers to development of higher valued crops are dissolved.