This map was constructed in order to map more than one value. The cartogram distortion is based on carbon dioxide emissions, while the choropleth distribution is based on each nation's GDP adjusted to US dollars. The following map was created in ArcGIS.
In order to create the cartogram distribution, I used the program SpaceToad. After the cartogram was created, I exported the cartogram to ArcGIS as a shapefile, then set the layer properties to form a choropleth distribution of the GDP. For the choropleth distribution, I created a sequential color scheme within ColorBrewer to represent the values. Finally, I created a layout and adjusted the picture size to fit the map extent.
These maps provide an example of multiple data frames being used to portray more than one phenomena over a geographic area. One map is based on proportional distribution of Internet users, while the other map is based on dot density of telephone users for each country. These maps were created in ArcGIS.
The cartography analysis here largely consisted of editing the proportional and dot density symbols for display on the maps. Since the maps were placed in separate data frames, both the map layouts and the page itself had to be adjusted to form the most aesthetically pleasing layout possible.
This map was created as a test run within the program QGIS. Like the first map in this lab, the map features two variables being represented. The choropleth distribution relates to total population, while the graduated symbols relate to the percentage of the population within the age range of 20-24 years.
For this map, I gained the basic data from the American Community Survey, and the geographic border file from the US Census Bureau's TIGER Files. The choropleth distribution of the data is set at 30% transparency, while the graduated symbols are not. While the graduated symbols do not have a border, I could not set the counties without borders, since some counties represented by the same color border each other. The legend is actually two different legends placed next to each other, because I believed that it would be a good way to take up more of the empty space on the map.