Authors:
Orland Hoeber
1
and
Monjur Ul Hasan
2
Affiliations:
1
University of Regina, Canada
;
2
Memorial University of Newfoundland, Canada
Keyword(s):
Geovisual Analytics, Event-based Anomaly Analysis, Spatial Event Representation, Anomaly Detection.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Interactive Visual Interfaces for Visualization
;
Usability Studies and Visualization
;
Visual Analytical Reasoning
;
Visual Data Analysis and Knowledge Discovery
;
Visual Representation and Interaction
;
Visualization Applications
Abstract:
Collecting multiple geospatial datasets that describe the same real-world events can be useful in monitoring
and enforcement situations (e.g., independently tracking where a fishing vessel travelled and where it reported
to have fished). While finding the obvious anomalies between such datasets may be a simple task, discovering
more subtle inconsistencies can be challenging when the datasets describe many events that cover large
geographic and temporal ranges. This paper presents a geovisual analytics approach to this problem domain,
automatically extracting potential event anomalies from the data, visualizing these on a map, and providing
interactive filtering tools to allow expert analysts to discover and analyze patterns that are of interest. A case
study is presented, illustrating the value of the approach for discovering anomalies between commercial fishing
vessel movement data and their reported fishing locations. Field trial evaluations confirm the benefits of
this geovisual a
nalytics approach for supporting real-world data analyst needs.
(More)