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In this supplemental document, we provide the extension of our framework to higher-ordered attributes measured along the individual pathlines.
Oct 5, 2020 · In this work, we propose an interactive visualization framework for analysis and exploration of unsteady flow based on TACs.
To address this challenge, this work proposes to analyse the time‐dependent characteristics of the physical attributes measured along pathlines which can be ...
Most existing unsteady flow visualization techniques concentrate on the depiction of geometric patterns in flow, assuming the.
It is demonstrated that the temporal trends of these TACs can convey the relation between pathlines and certain well‐known flow features, which enables us ...
This work proposes to analyze the time-dependent characteristics of the physical attributes measured along pathlines derived from unsteady flows, which can be ...
May 18, 2024 · A visual analytic system incorporating the TAC‐based pathline clustering and exploration is developed, which also provides new visualizations to ...
This work proposes to analyze the time-dependent characteristics of the physical attributes measured along pathlines derived from unsteady flows, ...
ABSTRACT. This work proposes to analyze the time-dependent characteristics of the physical attributes measured along pathlines derived from.
To ensure the color consistency for the temporal clustering vi- sualization of TACs, we assign a color to a cluster Cp based on its main source cluster ...