Sentence examples for more quantitative spatial from inspiring English sources

Exact(1)

What was clear from these studies was the need for more quantitative spatial data.

Similar(59)

It is of great interest to us to perform more quantitative analyses of spatial and temporal expression patterns of the clock components and the interactions among them.

More recently SCANS II, funded through the EU-LIFE program and participating EU Member States, has aided a more quantitative understanding of the spatial distribution and abundance of cetaceans [26].

Our results suggest that the mapping problem is considerably more complex, and that incorporating quantitative spatial relations, in the form of conditional probability values, into ongoing ontological efforts, could prove a very fruitful way forward.

To provide a more quantitative assessment of the seasonal and spatial patterns of occurrence of diel dive variation (DDV), we also develop a model of diving behavior as a function of time of day.

The development of systems collecting tomographic bioluminescence and fluorescence data enabled even more spatial accuracy and more quantitative measurements.

Our approach fills an important space between participatory GIS practices and the development of complex spatial system dynamics models, infusing systems thinking principles to participatory processes, while showing a way to enhance the future development of quantitative spatial system dynamics models more generally.

The data from DCE-CT imaging has a high spatial resolution and is potentially more quantitative than MRI as the change in CT image intensity is linearly related to the concentration of the contrast agent.

SAGE is more quantitative than in situ hybridization but lacks the high spatial resolution.

Clearly we need more quantitative data on the Wnt Pathway in mammalian cell systems [ 27], particularly quantitative spatial temporal data.

Future field and modeling investigations using the approach outlined here could be designed to explore the important temporal and spatial scales of variability in watersheds, and lead to a more quantitative approach to storm hydrograph separation.

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