RAMPVIS: answering the challenges of building visualisation capabilities for large-scale emergency responses
The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more. In addition to numerous challenges in epidemiology, healthcare, biosciences, and social sciences, there has been...
Main Authors: | Chen, M, Abdul-Rahman, A, Archambault, D, Dykes, J, Ritsos, PD, Slingsby, A, Torsney-Weir, T, Turkay, C, Bach, B, Borgo, R, Brett, A, Fang, H, Jianu, R, Khan, S, Laramee, RS, Matthews, L, Nguyen, PH, Reeve, R, Roberts, JC, Vidal, FP, Wang, Q, Wood, J, Xu, K |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Elsevier
2022
|
Similar Items
-
Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations
by: Dykes, J, et al.
Published: (2022) -
How ordered is it? On the perceptual orderability of visual channels
by: Chung, D, et al.
Published: (2016) -
One View Is Not Enough: Review of and Encouragement for Multiple and Alternative Representations in 3D and Immersive Visualisation
by: Jonathan C. Roberts, et al.
Published: (2022-02-01) -
Complex model calibration through emulation, a worked example for a stochastic epidemic model
by: Michael Dunne, et al.
Published: (2022-06-01) -
Visualisering
by: Stephen Palmer
Published: (2020-12-01)