This module focused on exploring triangular irregular networks (TINs) and digital elevation models (DEMs). The project culminated to creating a TIN and a DEM from the same set of points and then comparing the contours created from each. While I see the value and versatility of the using a TIN to quickly symbolize many different aspects of the data quickly, I believe the contours created from the DEM (red) are more accurate than those created using the TIN (black). The TIN contours are restricted to the surfaces of the TIN hence in the final product they appear jagged which lowers their overall accuracy.
Because the data provided for the above map contained positive and negative values which ArcMap does not support for proportional symbols, the data had to be modified. All states with positive values were exported to a new shapefile and the same was done with states with negative values. This was all that needed done with the positive valued states. However, for the negative valued states a new field needed added to the attribute table and it had to be populated with the absolute value of number of jobs lost to convert them to positive integers. To prepare the data for bivariate visualization classes needed to be made. To do this, three class quantification was applied to each desired variable to divide each into three relatively equal groups. Then all values in the first group of the first variable were classified with an 'A', then the second group was given a 'B', and the third was given a 'C'. the same thing was done with the second variable however 1, 2 ,...
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