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Research Publications: UM-SG-RS-2016-32
Title:
On Information Criteria for Dynamic Spatio-temporal ClusteringYear:
2016Authors:
Schaeffer, ED; Testa, JM; Gel, YR; Lyubchich, VSource:
Proceedings of the 6th International Workshop on Climate Informatics: CI 2016 : 5 - 8DOI:
10.5065/D6K072N6Abstract:
Modern climate data sets, including paleoreconstructions, long-term weather monitoring records, and remote sensing data, contain a wealth of space-timeinformation that leads to a variety of challenges related to data storage, management, and analysis. This has sparked an interest in dynamic space-time clustering algorithms that are particularly suitable for the analysis of large data streams. The trend-based clustering algorithm TRUST allows segmentation of space-time processes in real time, but requires the user to set multiple tuning parameters, and this step is usually performed in a subjective manner. Here we propose a data-driven automatic approach to simultaneously select the tuning parameters based on a penalized loss function. We focus on the two most important parameters of the TRUST algorithm, which define short-term closeness of observations across locations and long-term persistence of such closeness within an analyzed time window. We demonstrate the performance of the enhanced clustering procedure using simulated time series, and illustrate its applicability using long-term records of water temperature in Chesapeake Bay.Maryland Sea Grant Topic(s):
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Leone Yisrael is a cephalopod-loving scuba diver, cook, and loves to try new activities. She conducts genetic analysis and fieldwork at the Smithsonian Environmental Research Center through the Coastal Disease Ecology Lab.
Featured Research Project
Developing a habitat model for mysids, an important link in Chesapeake Bay food webs
Mysids are important mesozooplankton prey for many species of fish in Chesapeake Bay and are an important link in transferring energy from lower to upper trophic levels. Mysids also serve as biological vectors for benthic-pelagic coupling due to their diel vertical migration and omnivorous prey-switching behavior, which makes mysids important regulators of food web architecture. Despite their central role in coastal food webs, surprisingly little is known about mysid ecology and dynamics in Chesapeake Bay.
