Supporting Event-based Geospatial Anomaly Detection with Geovisual Analytics

Orland Hoeber, Monjur Ul Hasan

2015

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 analytics approach for supporting real-world data analyst needs.

Paper Citation

in Harvard Style

Hoeber O. and Ul Hasan M. (2015). Supporting Event-based Geospatial Anomaly Detection with Geovisual Analytics . In Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015) ISBN 978-989-758-088-8, pages 17-28. DOI: 10.5220/0005268000170028

in Bibtex Style

@conference{ivapp15,
author={Orland Hoeber and Monjur Ul Hasan},
title={Supporting Event-based Geospatial Anomaly Detection with Geovisual Analytics},
booktitle={Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)},
year={2015},
pages={17-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005268000170028},
isbn={978-989-758-088-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)
TI - Supporting Event-based Geospatial Anomaly Detection with Geovisual Analytics
SN - 978-989-758-088-8
AU - Hoeber O.
AU - Ul Hasan M.
PY - 2015
SP - 17
EP - 28
DO - 10.5220/0005268000170028