2021 25th International Conference Information Visualisation (IV) 2021
DOI: 10.1109/iv53921.2021.00016
|View full text |Cite
|
Sign up to set email alerts
|

ContourDiff: Revealing Differential Trends in Spatiotemporal Data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 32 publications
0
1
0
Order By: Relevance
“…Kim et al [47] implement a gravity-based flow extraction model that can effectively separate human movement from spatiotemporal data. Ahmed et al [53] proposed ContourDiff, a vector-based visualization tool capable of visualizing trends in spatial and temporal domains in contour maps. Inspired by the different visualization techniques, in this paper we apply the potential flow map to visualize the spatiotemporal shift pattern of the energy demand.…”
Section: Related Workmentioning
confidence: 99%
“…Kim et al [47] implement a gravity-based flow extraction model that can effectively separate human movement from spatiotemporal data. Ahmed et al [53] proposed ContourDiff, a vector-based visualization tool capable of visualizing trends in spatial and temporal domains in contour maps. Inspired by the different visualization techniques, in this paper we apply the potential flow map to visualize the spatiotemporal shift pattern of the energy demand.…”
Section: Related Workmentioning
confidence: 99%