What information would you include


Assignment: Deepwater Horizon

GIS can be a powerful tool when addressing environmental issues. As we have learned throughout the course, GIS can be used to demonstrate the extent of a problem as well as provide solutions to solving these issues.

Consider the BP oil spill, Deepwater Horizon, which occurred in 2010. If you were required to develop a GIS regarding this situation, what information would you include? When developing your answer, make sure that you consider the environmental, socio-economic, human health, and political uses for a GIS, and address how you would incorporate each of these factors.

Make sure to address all issues

Your initial post should be at least 250 words in length. Properly cite any references in APA format

The response should include a reference list. Double-space, using Times New Roman 12 pnt font, one-inch margins, and APA style of writing and citations.

Required Resources

Text

Law, M., & Collins, A. (2015). Getting to know ArcGIS desktop for ArcGIS 10.2 and 10.3 (4th ed.). Redlands, CA: ESRI Press.
• Chapter 7: Symbolizing Features
• Chapter 8: Classifying Features
• Chapter 9: Labeling Features
• Chapter 10: Making Maps for Presentation

Articles

Macit, M. B., & Gümrükçüoglu, M. (2012). Determination of industrial sulfur dioxide emissions and mapping by geographic information system. Polish Journal of Environmental Studies, 21(3), 549-558.

• This research article shows how GIS can be used to investigate pollution distribution and concentration. The article demonstrates how the week three learning objectives are applied to assess environmental problems.
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Bustamante, E. N., Monge-Nájera, J., & Méndez-Estrada, V. H. (2013). Use of a geographic information system and lichens to map air pollution in a tropical city: San José, Costa Rica. Revista De Biología Tropical, 61(2), 557-563.

• This study combines data from lichens and GIS to map air pollution. Class members gain an understanding of how GIS can be used to classify and present different types of data, which directly supports the week three learning objectives.
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