Below we have the StoryMap that goes through all of the map layers as well as explains their relevance.
Aggregated Vehicle Population Over Charging Station Hex Bins
Within this map we are able to see whether the demand for charging stations is met per hexagon bin. The size of the green circles indicates the density of aggregated electric vehicle points within an area, while shading of green per hexagon visualizes the density of charging stations. By looking at this figure, we can see that with the increase in size for vehicle population points, the darker the hexagon below it becomes. While areas with smaller vehicle population points have lighter hexagons below them.
Individual Vehicles Within Charging Station 25 mile Buffer
In map 2 we look over the individual electric vehicle points (pink) and create a 25 mile buffer around the individual charging stations (dark blue). This gives us a more precise visualization that shows any electric vehicles that may not have access to a charging station within 25 miles.As seen within the figure, none of the vehicle points seem to be located outside of a charging station buffer.
Prediction Map Using Education Levels and Hex Bins
We created figure 3 to show the predominant level of education within each area. These points can vary from an education level of High School, to Graduate or Professional degree. The two lower levels of education ( High School Diploma and Some College, no degree) are mapped out with yello and red as warm colors. The two higher levels of education (Bachelors Degree and Graduate/Professional Degree) are symbolized with purple and blue as they are cooler colors. As these points are overlaid on top of the aggregated station hexagons, we are looking for hexagons with a lighter shade of green (lower station density) that have points with cool colors (higher education levels). These areas are predicted to increase in electric vehicle populations due to their higher education levels.