Personalized Hierarchical Visualization for Enhanced Decision Support using Big Data
Lead Research Organisation:
Newcastle University
Department Name: Computing Sciences
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
People |
ORCID iD |
Nicolas S Holliman (Primary Supervisor) | |
Manu Antony (Student) |
Publications

Nicolas S. Holliman
(2019)
Petascale Cloud Supercomputing for Terapixel Visualization of a Digital Twin
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/P510580/1 | 30/09/2016 | 29/09/2021 | |||
1965870 | Studentship | EP/P510580/1 | 30/09/2016 | 30/08/2020 | Manu Antony |
Description | Designed and developed a visualization grammar for 3D data visualization. It was used to create visualizations for traffic saturation and found to be more effective than traditional UTC (Urban Traffic Control) systems to detect saturated traffic links. |
Exploitation Route | The visualization grammar can be used for a wide variety of visualizations and data specialists. |
Sectors | Digital/Communication/Information Technologies (including Software) Transport |