Plot Some Numbers (GIS 3015/3015L- Cartographic Skills)

This module was a break from the cartographic focus and dove into spatial patterns using statistics. The course titled "Exploring Spatial Patterns in Your Data Using ArcGIS" was taken on Esri's Training site. It focused on acquiring the mean and median of our data but also placing our data into a histogram and a Q-QPlot. After we had graphed our data, we learned on how to interpret this information and the applications of doing so.

The map shown here is the result of finding the mean and median centers along with the directional distribution. The tools for the job could all be found in the Spatial Statistics toolbox in ArcMap. What these tools tell us is that although the highest concentration of weather stations are located in Switzerland and Austria, there is enough spread to the north and west that the average center still falls within central Europe.

The standard deviation of a data set is the variation of the values of the average value. This defines the directional distribution in the map, running the ellipse from north-east to south-west.

Although it took some time for these concepts to stick, I'm glad to have taken the course. It isn't far fetched to think these tools are used often and the subsequent information obtained valuable.

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