Color coded map
Differentiate data by connecting it to locations and making color coded maps.
What is a color coded map?
A color coded map is a map that has different colorized regions where each color represents a simple value. For example, in Europe each country could be differentiated and highlighted by an individual color. This makes it easy to see the different independent countries (their “value”) and their geographic boundaries.
Grouping and coding regions
Alternatively, you could group a number of geographic regions by color, to represent the same or similar values. A classic example of this would be the US political map: typically, Republican states are represented by red whereas Democratic states are represented by blue.
Attach spreadsheet data to colored regions
eSpatial allows you to upload Excel data and automatically attach it (“link to boundaries”) to each colorized region. This allows values to be color coded on the map (e.g., Democrat or Republican) but can also attach additional spreadsheet data to a geographic boundary. In the Democrat/Republic map, if a state is selected, an information box could open, revealing additional data, such as Number of voters, Margin of election victory, State representatives, etc.
Color code v heat map
Color coded maps are great for simple, clear communication of distinct values that can be expressed in text form – “Republican”, “Democrat”, “England”, “France”, etc. However, where there are a range of integer values to be expressed, then a heat map is the best solution. Representing US population density on a map, for example, you could use different shades of Red – dark red would indicate high density, while light red/pink would indicate low density. A range of shades that occupy the space in between these extreme values would be also expressed on the map.
Layer other data onto a color coded map
eSpatial doesn’t just make it easy to create a color coded map, it also gives you the flexibility to save a that map and use it repeatedly, for different analyses. In the case of the Deomocratic/Republican map, for example, you could plot the number of churches in a state on the political map. In this analysis, we may find that a higher number of churches per state favors a win by one state over the other.
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