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Visual Analysis of Oceanic Multivariate Species Time-Series Data

Abstract

The goal of this project is to provide a data visualization dashboard which allows users to interactively analyze sequential movement patterns and rules of sharks and fishes. This will enhance the ability of oceanic experts to make educated decisions in order to minimize risks for marine ecosystems. The dashboard will present oceanic data from detection stations in Nova Scotia’s Bay of Fundy, which allows researchers to discover patterns in the movements of oceanic species. In order to determine the efficacy of the interactive dashboard, domain experts performed an evaluation using exploratory methods. This evaluation compared the dashboard’s ability to fulfill research questions and goals against the existing tools, and determined if this application would be more beneficial for existing practitioners, based on the feedback received and insights gained.

Description

Keywords

Visual Analytics, Data Mining, Sequential Pattern Mining, Sequential Rule Mining, Time-Series Data Visualization, Vertical Mining of Maximal Sequential Patterns, Data Visualization, Geo-Spatial Time-Varying Data

Citation