Novel Approaches to Data Visualization

Опубликовано 12 августа 2016, 3:16

Data Visualization in Virtual Spaces and High Dimensions Visualization is a bridge between the quantitative content of data and the human intuition and understanding. Effective visualization is a critical bottleneck as the complexity and dimensionality of data increase. I will describe some experiments in collaborative, multi-dimensional data visualization in immersive virtual reality. CT and Imaging tools for Windows HPC clusters and Azure Cloud 'Computed Tomography (CT) is a non-destructive imaging technique widely used across many scientific, industrial and medical fields. It is both computationally and data intensive. Our group within CSIRO has been actively developing X-ray tomography and image processing software and systems for GPU enabled Windows HPC clusters. A key goal of our systems is to enable our ΓÇ£end usersΓÇ¥, researchers, easy access to the tools, computational resources and data via familiar interfaces and client applications without the need for specialized HPC expertise. We have recently explored the adaptation of our CT-reconstruction code to the Azure cloud platform, for which we have constructed a working ΓÇ£proof-of-conceptΓÇ¥ system. However, at this stage several challenges remain to be met in order to make it a truly viable alternative to our HPC cluster solution.' Work in Progress toward Enhanching Multidimensional Visualizationwith Analytical Workflows 'Big Data, particularly from terrestrial sensor networks and ocean observatories, exceed the processing capacity and speed of conventional database systems and architectures, and require visualization in 3- and 4-dimensions in order to understand the Earth processes at play. Successfully addressing the scientific challenges of Big Data requires integrative and innovative approaches to developing, managing, and visualizing extensive and diverse data sets, but is also critically dependent on effective analytical workflows. This talk will present an emerging agenda and work in progress toward this end at ESRI.'