In this module, I created a map showing the wine consumption of European countries overlaid on population density choropleth layer. This module taught a variety of different tasks about choropleth mapping, proportional symbols, and data manipulation.
In this map, I used Europe Albers Equal Area Conic projection because it does not distort area. It is important to choose a projection that doesn’t distort area because it would also distort density perception. The smaller the scale the more important this is.
Population density is mapped rather than raw population counts because without normalizing the data you can't compare between areas. The quantile classification scheme best represents the data. The countries are split up fairly between the four classes. Equal interval and standard deviation were classifying the majority of countries into two classes. Natural breaks put the data into 3 classes.
I chose
a color scheme with different values of green. I chose green so the population density data would fade into
the background when the wine data is added on top. The green also contrasts with my wine red graduated
symbols. The sequential values are good for unipolar
data like population density.
I chose graduated symbols for the wine consumption data because it fits better on the
map. The proportional symbols were overwhelming. Also, it easy and easy method
for readers to tell the symbol size. I chose to use natural breaks because it
decreased difference within classes and increased difference between classes.
Six classes fit this data the best. It is within the ideal 5-8 classes.
Overall, I really struggled with this module. Editing the symbols and labels took a very long time because ArcPro was running slow. Less cumbersome data would be helpful in the next iteration of this class. Further, more guidance on ways to create the inset map would be helpful. The Canvas discussion was somewhat helpful but I wish there was more suggestions in the lab instructions.
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