Sentence examples for visualization assessment from inspiring English sources

Also, it is difficult to elicit learners' understanding of the dynamic nature of scientific phenomenon by means of administering conventional, text-based, or static visualization assessment.

A revised version of visual spatial memory-word rotation test was used which was originally developed by Blasko et al. (2004) within the scope of "Visualization Assessment and Training Project (VIZ)" to asses, examine and improve spatial performance.

Meanwhile, visualization-based tools should fulfill three requirements [102, 103]: expressiveness (demonstrate exactly the information contained in the data), effectiveness (related to cognitive capabilities of human visual system) and appropriateness (cost-value ratio for visualization benefit assessment).

In vitro wholemount stainings allowed visualization and assessment of the three vascular layers in the entire visual streak region and thus complemented in vivo cSLO imaging.

This work is the first step towards a visualization and assessment platform for Crisis Management.

In the left column the values of visualization quality assessment parameters are presented for the training set, in the right one – for the test set.

Overall, the maps and profiles of flow statistics in the region of interest provide convenient visualization and assessment tools for water resource and environmental engineers.

The ability to produce three-dimensional displacement maps based on two-dimensional data widens the range of analytical techniques that can be applied for the visualization and assessment of surface topography.

At the same time, while generally s-GTM provides at least slight increase in all the considered parameters for visualization quality assessment, it doesn't separates areas of overlapping as successfully as s-Isomap does.

A custom platform was developed to address the issue of multilevel visualization and assessment of the data, designed to act as a tool for viewing and combining the acquired information.

The algorithms are designed to: (i) organize the data output from multiple instruments into a common format; (ii) present the data in a variety of interactive figures for visualization and assessment; (iii) clean the data by removing data spikes and noise; and (iv) classify data quality.