Monday, February 23, 2015

Choropleth and Proportional Symbol Mapping... and Wine

Hello lovers of GIS and wine.
    This post is dedicated to Choropleth mapping, Proportional Vs Graduated symbols, and wine. We will be looking at my finalized assignment map which breaks down Europe by population density and gender as well as by wine consumed per capita. The data for all of this was graciously provided by UWF and is circa the European Census of 2013, with the Wine data coming from WineInstitute.Org from 2012. The project was created in ArcMAP with some minor dabbling in Corel Draw. Lets look at some of the learning objectives that drove this assignment:
  • Recognize when a choropleth map should be used
  • Compute varying standardization methods
  • Know what color schemes are appropriate for certain data types
  • Employ proper choropleth legend design   
  • Evaluate what type of proportional symbol map to use
  • Develop an appropriate strategy to work around proportional symbol challenges
  • Choose an appropriate color scheme for a choropleth and proportional symbols map
  • Create appropriate legend for classification scheme
  • Implement appropriate classification method for population data
Let us hit the big item definitions before we get to my map. 

What is a Choropleth map? Simply put its a map that displays data that is collected and generally contained within or abruptly changes when transitioning to a different enumeration unit (Counties, States, Countries, etc). This data is then displayed by being grouped into classes and assigning a color or varying shades of a color to represent it.

What is a proportional symbol map? This is a map that has a symbol representing data within an enumeration unit. The symbol is proportional in size to how much that particular data measurment occurs in that enumeration unit. 

How do graduated symbols differ from proportional symbols? These symbols are given a particular size to represent a range of the data rather than being scales as a ratio like the proportional symbol. 

What is wine? Wine is the delicious byproduct of collecting and fermenting grape juice. For me, the sweeter the better. 

Below you can see my conglomerated map for this assignment. Broken down into 3 data frames (Population density (big), Female Percentage, Male Percentage) with 4 data representations (4th being Wine Consumption proportional symbols).

Sequential (lighter to darker) color schemes abound in the 3 choropleth maps above. All three also utilize the Quantile classification method. You may remember from last weeks post that this method rank orders data and puts equal numbers of observations per class. It is quite interesting to see that with this method that the male and female population percentages are almost directly inverse of each other. Take Russia as an example, the data shows 53% of the population is women and happily the other map correspondingly shows 47% are male.
In regard to the wine, we have the backdrop of population density with wine consumption in liters per capita overlay. Proportional symbols show where the most and least consumption by country occurs. Central and western Europe have far more consumption that North and East. Plan accordingly for your next wine tour of Europe. 
Now I did try to refine the map by incorporating wine bottles, however with my current work constraints and the small scale of the population density map I had to forgo their use, as seen below. The overlap just doesn't look as clear and understandable. Thank you for your time.


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