Sentence examples for metrics for understanding from inspiring English sources

The aerial perspective allows the researchers to evaluate the nutritional status of the whales and look for pregnant females two important metrics for understanding the health of the struggling giants.

While the latter concept is central to understanding the predictive accuracy of correlative niche models projected under climate change, the present concepts are used as metrics for understanding the extent to which intrinsic physiological and extrinsic abiotic constraints explain species' distributional limits.

The primary strength and novelty of this work is the contribution to methods and metrics for understanding the role of topographic and meteorological factors on intra-urban air quality variability using a spatial saturation approach.

This deductive coding scheme allowed us to apply four major categories for the analysis: drivers (which included the primary reason during the planning phase for pursuing eCR systems), barriers and facilitators to the actual implementation process, and evaluation metrics for understanding how and when eCR systems were effective.

The findings of this study have potential as a basis for future development of BIM-based MEP coordination best practices and strategies as well as providing the metrics for understanding, measuring, and predicting the performance of BIM-based MEP coordination and strategically planning the coordination process.

While these metrics are vital for understanding the true effectiveness of online advertising, reach and frequency (R/F) metrics are also important tools for media planning and analysis.

Nor has "triple bottom line," "ESG" (environmental, social, governance), or even "Impact" given us clarity in terms of a definitive metrics-based idea for understanding whether a company is really contributing to our world in a positive and replenishing way, or simply another extractor of resources leading us closer to the demise of our species.

Original contributions include novel metrics and visualization techniques for understanding model error and a new robustness framework that accounts for variability in model comparison.

Social network and graph theoretic metrics that can be useful for understanding the relational dynamics of an innovation ecosystem can be categorized at two levels of analysis, the whole network (ecosystem), and the node level (firm/individual) (Still et al. 2013a).

With numerous analytics platforms only having a narrow set of app analytics tools that track and analyze these metrics, there is no true method in place for understanding user behavior.

Metrics of node position may also be valuable for understanding the ecological properties of the network.