Methods: To solve this question I used data from ESRI and from the Wisconsin DNR that was stored on my university's servers. All data I found I checked the appropriate scales that they could be used at in the meta data, making sure that they would be appropriate to display at the scale I would be mapping at. I found datasets of counties, then on top of these overlaid data of hospitals, interstates, and soils. With the counties layer, I selected the counties by attributes that were in Wisconsin, then created a new layer from the selection. I then used the these counties to clip the hospitals and interstates layers down to only Wisconsin. I then selected by attributes the high permeability soils and made a new layer from the selection. This layer I then intersected with a 5 mile buffer I made from the hospital layer. This new layer I then intersected with a 10 mile buffer I made from the interstate layer. This final layer took into consideration all of my criteria and is what I displayed on my final map. Below (figure 1) is the flow chart I made for this geoprocessing.
This blog is meant to showcase my GIS work and skills gained in my GIS 1 class and remote sensing classes.
Monday, May 16, 2016
Final Project
Goals and Background: The goal of this project was to apply my geospatial skills I have learned in the semester to a real life problem. I asked the question, where should we look to find a place that we can study high permeability soil while being near an interstate for ease of travel and near a hospital so that a member of our team could be rushed to the hospital if he or she needed medical attention for a condition that could possibly necessitate it. I used various tools that I had learned in the semester to answer this question and produce a map showing the areas meeting my criteria.
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