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.
Please make sure to address all issues
Your initial post should be at least 250 words in length. Properly cite any references in APA format
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., & Gümrükçüoğlu, M. (2012). Determination of industrial sulfur dioxide emissions and mapping by geographic information system (Links to an external site.)Links to an external site.. Polish Journal of Environmental Studies, 21(3), 549-558. Retrieved from http://www.pjoes.com/abstracts/2012/Vol21/No03/04.html
- 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 (Links to an external site.)Links to an external site.. Revista De Biología Tropical, 61(2), 557-563. Retrieved from http://www.scielo.sa.cr/pdf/rbt/v61n2/a07v61n2.pdf
- 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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