Sentence examples for more advanced visualization from inspiring English sources

For more advanced visualization and overlay with other related data sets, users may turn to the stand-alone SEDAC Map Client, which is offered via CIESIN's World Data Center for Human Interactions in the Environment Web site.

More advanced visualization approaches include dermoscopes; handheld devices that exploit polarization to reject superficially scattered light and specular reflection, enhancing appreciation of deeper portions of the epidermis [ 14].

A more advanced visualization method is combining trees with heatmaps (Fig.  5e): genes are grouped together according to their expression patterns in a tree hierarchy and the heat map is a graphical representation of individual gene-expression values represented as colors.

For more advanced visualizations, a large majority of VTK capabilities can be accessed through mayavi's pipeline API.

From the P and O matrices one can readily calculate various statistical properties across parcellations (e.g. the number of other regions that any particular region overlaps), and these can form the basis of more advanced analyses and visualization procedures.

More advanced courses include data visualization, journalistic computing and data‐driven journalism on specific topics, such as science, U.S. politics and cross‐border reporting.

The Urban Design program and the school's Visual Studies faculty have worked closely with Prof. Cassim Shepard to expand his teaching from the Reading New York Urbanisms summer course into additional seminar offerings next year – Montage City and Narrative Space – to enable our students to do more advanced elective work in visualization.

"In order to improve resident education and perform more rigorous surgical education research, we need better data warehousing, improved data visualization, and more advanced application of education analytics," says Dr. Sprinkle.

The third component, CytoModeler Visualizer, provides advanced visualization for simulation results.

Compared to GPU1, GPU2 was more scientifically reliable and productive, ran on ATI and CUDA-enabled Nvidia GPUs, and supported more advanced algorithms, larger proteins, and real-time visualization of the protein simulation.

Lastly, more advanced experimental methods, such as real-time water/ice visualization and cryogenic microscopy, are needed to validate emerging theories and models.