I will now be looking at four different variables in order to determine the lowest and highest risk areas for asthma sufferers in the state of California: (1) Percentage of days ozone exceeded the national average, (2) Income, (3) Population Density, (4) Hospitals. I will convert each of these shapefiles to rasters so that I can perform a spatial raster analysis using a weighted overlay. After converting each shapefile to a raster, they will be reclassified for favorable criteria. Because the ozone data that I had imported from excel are points rather than polygons, I performed a spatial join between ozone exceedances and counties and then converted the county polygon that now contains the ozone data to a raster.
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Final Poster & Reflection
My poster is finally complete and I am relieved to have completed all of the coursework for this semester! In my previous course project, I...
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Introduction: Asthma is a chronic disease that affects 8 million people in the United States, or 8% of the population (Center for Dise...
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Due to the problems I encountered with trying to add asthma data, I have fallen a little behind schedule, and plan to regroup. I have decid...
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I have revised my final GIS proposal, and will continue to follow my timeline that I have set for myself. This week I plan to revisit the G...
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