A rough-and-ready cluster-based approach for extracting finite-time coherent sets from sparse and incomplete trajectory data
Work
Year: 2015
Type: article
Abstract: We present a numerical method to identify regions of phase space that are approximately retained in a mobile compact neighbourhood over a finite time duration. Our approach is based on spatio-temporal... more
Institutions UNSW Sydney, TU Dresden
Cites: 32
Cited by: 101
Related to: 10
FWCI: 7.132
Citation percentile (by year/subfield): 99.98
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Sustainable cities and communities
Open Access status: bronze
Grant IDS FT120100025, DP110100068