Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Most of the existing approaches to visualizing the vector field ensembles are achieved by visualizing the uncertainty of individual variables of different simulation runs, for example, geometry distance, statistics, variability etc. Hover, the comparison of the derived feature or user-defined feature (e.g. vortex) is also of vital significance since they often make more sense according to the domain knowledge. ,  present a new framework to extract user-defined feature from different simulation runs. Specially,  use a bottom-up searching scheme to help extract vortex with a user-defined shape.  further compute the geometry information including the size, and the geo-spatial location of the extracted vortex, and design some link views to compare them beten different runs. Results show that our method is capable of extracting user-defined feature across different runs and comparing them spatially and temporally.
['Richen Liu', 'Hanqi Guo', 'Xiaoru Yuan']
I am writing a research paper on a idea A bottom-up scheme for user-defined feature comparison in ensemble data
[{"from": "human", "value": "I am writing a research paper on a idea A bottom-up scheme for user-defined feature comparison in ensemble data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Most of the existing approaches to visualizing the vector field ensembles are achieved by visualizing the uncertainty of individual variables of different simulation runs, for example, geometry distance, statistics, variability etc. Hover, the comparison of the derived feature or user-defined feature (e.g. vortex) is also of vital significance since they often make more sense according to the domain knowledge. ,  present a new framework to extract user-defined feature from different simulation runs. Specially,  use a bottom-up searching scheme to help extract vortex with a user-defined shape.  further compute the geometry information including the size, and the geo-spatial location of the extracted vortex, and design some link views to compare them beten different runs. Results show that our method is capable of extracting user-defined feature across different runs and comparing them spatially and temporally."}]