This lab week consisted of working with choropleth mapping, but in a more unique way then what we've done thus far. We ended up comparing multiple values from different statistics/fields, but then putting them in comparison with one another on the same map. As seen in the first map below we compared negative and positive state job growth across the country. This can have numerous applications across multiple sectors to convey and review information.
The proportional symbol mapping as seen above can take a second to begin to classify the values. But upon inspection you can easily differentiate the negative and positives. Then comes reviewing the legend to get a general ideas of the numbers. Whole these a whole rounded numbers it does convey a good bit of information on this in a simple format. All the sizes have enough variable difference to get an idea of the number of jobs either lost or gained.
In a more advanced map then the one previously seen this takes choropleth mapping to the next level with bivariate choropleth mapping. Now not only are you comparing two different variables such as the positive or negative growth. But you are adding multiple fields into the same combined values for review. These are then added together and put on a scale as seen on the legend in the bottom left hand part of the map. This allows you to review two different factors simultaneously and see the correlation they may have for one another. This can help to review different effects of causation to see if certain things may affect or contribute to others in a vast scale to determine possible outcomes. A very effective tool for works such as the topics of obesity and activity levels as we have above. This weeks lab was very pragmatic and can be applied to very meaningful topics across the research space.
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