Crime in D.C

Median Household Value

The map which depicts weights 1 and weights 2 shows the deciding factors for selecting the location for the home. Weight 1 depicts an equal overlay. Each factor is equally contrasted within the map. Weight 2 is not an equal overlay. The college and hospital, being more important factors as the home owners will commute there on a daily basis, is weighted at 40% and the other factors only at 10%. The map results between the weights 1 and2 are slightly similar but do have noticeable differences. The “preferred selections” on each map depict the areas that best meet the criteria in the overlay. A specific area by the hospital meets the criteria best in both maps, however, in the weight 2 map, location options move to the east of the hospital and yet still in the general area of the college as well. In the weight 1 map, the areas that best meet the criteria actually move away from the hospital and college. The weight 2 map with the heavier emphasis on the college and hospital provide a more practical option as they offer areas within reasonable distance of the cardiologists and professors place of work while still considering the other factors.

Week 5

GIS role in disasters

GIS plays a vital role in disaster response--It visually shows disaster areas, issues and problems that must be addressed. GIS can provide things as simple as street maps for workers to get around to maps the depict flood areas or residential density. In recent month GIS was utilized for earthquakes in Haiti, India and Chile identifying the magnitude population density of the area as well as the land topography.

The role of GIS in disaster response and how it relates to the Deepwater Horizon oil spill in the Gulf of Mexico is that it assists scientist and administrators in determining the scope of the spill. GIS also aides in the construction of models to determine the theoretical movement of the oil at the surface and below. The product can be tailored specifically to the audience and can serve a variety of customers.

GIS has yet to provide significant predictive information and this could be attributed to the lack of information of subsurface currents as well as varying variables such as water temperature density and salinity.

Government organizations such as National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, as well as private entities such as BP and CNN have utilized GIS to convey their interpretation of the oil spill—manipulating the known data to support their interest.

http://students.uwf.edu/mc57/oil_animation.avi

OilSpill 2

Marc

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