Sentence examples for predicting indicators from inspiring English sources

The shape of the city in space, including for example its residential density, matter much less than (and are mostly accounted for by) population size in predicting indicators of urban performance.

This connection is recognized as a predicting indicator for the increased uptake of research results [ 5].

For example, Virtual Research Associates has produced the GeoMonitor to help predict indicators with relationship to country stability.

The presented examples come from different extended engineering facilities, for which predicted indicators of deformation were set.

We demonstrate that a BART model performed similarly to other regression tree approaches when field data and high spatial resolution imagery predictions were combined to predict indicator values using the medium spatial resolution Landsat image.

To implement and evaluate the proposed SWLPS, actual network indicators and predicted network indicators are generated using passing distribution data and SNA.

So even if he were publishing now, his stodgy computer-driven spreadsheets and 20 years of annotated notes on Federal Reserve policy meetings (all of which were lost) would be of little help and his routine of predicting economic indicators would be upset.

Given their data-hungry nature, common regression tree − based modeling approaches may be inadequate for reliably predicting rangeland indicators with the smaller sample sizes of AIM data than typically used for remote sensing studies.

Another generation of risk index models introduces the concept of indexing the individual failure-predicting indicators; however, their approach shares the same weaknesses of univariate analysis and provides largely arbitrary risk metrics.

However, the relative weight of each structure or process indicator in predicting the outcome indicator (i.e., malnutrition risk) remains unclear.

We finally show that our indicators capture a large range of behavioral traits using factor analysis and that the framework can be used to predict other indicators of vulnerability such as age or socio-economic status.