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Informatics 2016, 3(2), 4; doi:10.3390/informatics3020004

Interactive Spatiotemporal Analysis of Oil Spills Using Comap in North Dakota

1
Transportation and Logistics Program, North Dakota State University, Fargo, ND 58105, USA
2
Management Department, School of Business, New Jersey City University, Jersey City, NJ 07311, USA
3
Department of Mechanical and Industrial Engineering, University of New Haven, West Haven, CT 06516, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Kamran Sedig
Received: 29 January 2016 / Revised: 17 March 2016 / Accepted: 25 March 2016 / Published: 30 March 2016
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Abstract

The aim of the study is to analyze the oil spill pattern from various types of incidents and contaminants to determine the extent that incident data can be used as a baseline to prevent hazardous material releases and improve response activities at a state level. This study addresses the importance of collecting and sharing oil spill incidents as well as analytics using the data. Temporal, spatial and spatiotemporal analysis techniques are employed for the oil-spill related environmental incidents observed in the state of North Dakota, United States of America, from 2000 to 2014, as a result of the oil boom. Specifically, spatiotemporal methods are used to examine how the patterns of environmental incidents in North Dakota, which vary with the time of day, the day, the month, and the season. Results indicate that there were critical spatial and time variations in the distribution of environmental incidents. Application of spatiotemporal interaction visualization techniques, called comap has the potential to help planners and decision makers formulate policy to mitigate the risks associated with environmental incidents, improve safety, and allocate resources. View Full-Text
Keywords: spatiotemporal analysis; comap; hazardous material release; Kernel density spatiotemporal analysis; comap; hazardous material release; Kernel density
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Park, Y.S.; Al-Qublan, H.; Lee, E.; Egilmez, G. Interactive Spatiotemporal Analysis of Oil Spills Using Comap in North Dakota. Informatics 2016, 3, 4.

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