Soliman_Lab5

Soliman_Lab5 - Andrew Soliman Friday 12:00 1. I chose...

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Unformatted text preview: Andrew Soliman Friday 12:00 1. I chose to analyze the dependency ratio in the population, which is the ratio of people under the age of 18 and above the age of 65 over the population of people ages 18 to 64. This is a good statistic to analyze in terms of social vulnerability, because the larger the value of the ratio, the harder it will be for people in those areas to evacuate, because those between the ages of 18 and 64 will also have to take care of those who are not. This would make evacuation take much longer, and in some cases, not possible. 2. There was one hot spot on my map with greater than 2.58 standard deviations just under the center of the tornado path, close enough to be affected. There were also a few very small hotspots directly in the path of the tornado. There were no cold spots directly in the path of the tornado. 3. My results would make it so that recovery efforts would focus on the hotspots first, because they contain a high percentage of children and elderly people who would not be able to survive for a long period of time after a disaster. Also, they would not have been able to evacuate as quickly, and more people would be trapped in the hot spots. 4. I am planning on using GIS technology to track some sort of pattern in a disaster stricken region, though I am not sure what I will be tracking. Despite this, ArcMap would be very helpful in illustrating the severity of whatever variable I choose to track through a visual medium. A map would make it much easier to show the hotspot of a variable. ...
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This note was uploaded on 12/06/2011 for the course GEOG 260Lg at USC.

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