Working Geometries

 This week was our final assignment. For this assignment, we were to write a code to create a new text file and copy all the information for the point data for 25 features. This data included the Feature OID, Vertex ID, X coordinates, Y coordinates, and the name of the river features. I created the code below, and the images following the code show the resulting text file.












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M4: Data Classification Lab

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For this week's lab, we compared four of the common data classification methods: Equal interval, standard deviation, natural breaks, and quantile. In order to compare and contrast these methods thoroughly, we needed to prepare two layouts with all four classification methods.  The map layout above is the first one that I created which shows the percentage of the various communities within the Miami-Dade area that are above 65. From left to right, the classification methods used were Equal Interval, Natural Breaks, Quantile, and Standard Deviation. There is an obvious difference between each of these in the way that the same data is represented on the map. Since the data that we are trying to accurately represent is only dealing with one variable, I believe that the natural breaks method is the best one to represent which areas house the largest population over the age of 65. it creates clean groups that can easily be interpreted. The second layout that I created, above, has the met...
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