Sentence examples for data visualisation techniques from inspiring English sources

Over the course of the day, you'll learn advanced data visualisation techniques and take part in practical exercises to put what you learned into practice.

The third is to emphasise the usefulness of data visualisation techniques for intuitively interpreting complex results.

A new movement of people using data visualisation techniques is producing inventive ways of showing graphically how public services behave.

Discussed during the forum were a variety of issues relating to data, from technical issues such as interoperability using data coming from multiple sources to more fun aspects of data such as refereeing, data poetry, cartoons and very engaging data visualisation techniques.

The analysis is founded on a physically-based rendering approach and uses data-visualisation techniques to generate 'maps' (i.e. false-colour images) of annual/monthly irradiation.

The data-visualisation technique was named after Matthew Henry Phineas Riall Sankey, an Irish engineer in the British Army, who in the late 19th century devised the method to show the flow of thermal energy in a steam engine.

The key issues are reliable identification of further magnetospheric boundaries such as near-Earth neutral x-line, improvements to the ground-based experiment network to improve the spatial and temporal resolution, and the coverage, development of data assimilation and visualisation techniques, as well as the definition of additional value-added data products.

This paper describes the use of high-dimensional data analysis and visualisation techniques as the basis for a multi-step procedure for generating a Pareto front for a two criteria problem.

In this paper, we present a comparative study between mid-to-high frequency GPR (450 MHz and 900 MHz) and array-based, shear wave, pulse-echo ultrasonic surveys using proprietary instruments and conventional GPR data processing and visualisation techniques.

More importantly, we show that standard GPR data collection, processing and visualisation techniques can be used with both types of data without users needing to change existing operational protocols or survey criteria.

With the data explosion in biology visualisation techniques are of paramount importance for further progress.