EconPapers    
Economics at your fingertips  
 

Effect of Oil Spill on Birds: A Graphical Assay of the Deepwater Horizon Oil Spill’s Impact on Birds

Tony Tran (), Aida Yazdanparast () and Eric Suess ()

Computational Statistics, 2014, vol. 29, issue 1, 133-140

Abstract: The Deepwater Horizon oil spill was an ecologically devastating event in the Gulf of Mexico, which saw the estimated release of over 4 million barrels of oil after flowing for three months in 2010. The US Fish and Wildlife Service provided a data set of 7,229 bird records. We aimed to illustrate the important features of the data set utilizing a blend of analytics and graphics executed through traditional and cloud-based software. It is concluded from the graphs that the areas containing the greatest concentration of birds were nearest to the coasts adjacent to New Orleans and the Deepwater platform. Moreover, the result of the logistic regression confirmed what is seen in bar charts, that the Laughing Gull and Brown Pelican, among many others, were most mortally impacted by the oil spill. Furthermore, additional investigation into the morbidity impact on birds over time indicates a lagging effect. A similar lag is present in the oiling of the birds where a separate time series shows the oiled/not visibly oiled birds alternating in frequency over the collection period. Copyright Springer-Verlag Berlin Heidelberg 2014

Keywords: 2011 ASA Data Exposition; Cloud Computing; Google Fusion Tables; Tableau; Logistic regression (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1007/s00180-013-0472-z (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:compst:v:29:y:2014:i:1:p:133-140

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/180/PS2

DOI: 10.1007/s00180-013-0472-z

Access Statistics for this article

Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik

More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:compst:v:29:y:2014:i:1:p:133-140