Shipping, the ocean transportation of people and goods, moves most world trade, and understanding its effects is required to assess human use of the oceans. This work examines the shipping trade by combining global observations of ship location with vessel identification records, and interpreting the results in an ecological context. By incorporating quality checking methods with volunteered geographic information, I provide a spatially resolved high resolution dataset which links individual ships with their movement patterns and vessel attributes. This contributes knowledge on the state and distribution of shipping, and identifies areas where mitigation of impacts are achievable.
|Advisor:||Gaines, Steven D.|
|Commitee:||Janowicz, Krzysztof W., Warner, Robert R.|
|School:||University of California, Santa Barbara|
|Department:||Ecology, Evolution & Marine Biology|
|School Location:||United States -- California|
|Source:||MAI 51/06M(E), Masters Abstracts International|
|Subjects:||Geographic information science, Naval engineering, Transportation planning|
|Keywords:||Automatic identification system, Marine spatial planning, Shipping, Transportation, Volunteered geographic information|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be