GIS 6005 Lab 6

 In module 6 we covered Proportional Symbol and Bivariate Choropleth Mapping.

For proportional symbol mapping, we started by creating a proportional map using population data for cities in India. We also made a nested legend in our map layout to more efficiently display the proportional symbols.  Next, we were given data for U.S. Job increases and decreases. We separated the data in to increase and decrease layers and then had to use the field calculator to get the absolute value foe the data in the decrease category. This was done because, currently, ArcGIS cannot handle these negative numbers. Once this was accomplished, the data was able to be mapped correctly, and we were able to use color selection and labels to help indicate the increases and decreases.  We also used nested legends in this map for a more efficient, streamlined layout. Pictured below.

For the last part of this lab we a Counties Health layer with various statistics. We focused on Obesity and Physical Inactivity. We started by making a choropleth map for the % Obese field and one for the % Physically Inactive field. We added three new fields to the attribute table for classed data. We changed the symbology for each of the choropleth maps and used Quantile with 3 classes, From here we found the class breaks for both %Obese and % Physically Inactive. Using these breaks we went to the attribute table where we added our new fields and with the help of Select by Attribute and Calculate Field we classed our data in the Class Obese Field (1,2 1nd 3) and the Class Inactive field (A, B and C). Next, we combined the data from these tow fiends into the Class Final field using an Arcade formula. Once this was complete we could create a map layout using unique features symbology and selecting an appropriate color scheme to present the data in a meaningful way. With a bivariate choropleth map this means a color scheme that makes the data relationships easy to discern.