PLEASE BRING A PERSONAL LAPTOP
We will provide all the software tools (no installation needed)
Geographically referenced data sets are becoming increasingly common.
In spatial analysis of demographic data, three common spatial indices are used: points, lines, and polygons. Through interspersed hands on exercises, we will: obtain, shape, and visualize demographic data over space. We will briefly discuss the motivation for incorporating geographic association into downstream models.
Below is an example of what we will produce with [R]
1) Obtain GPS locations of In-N-Out’s obtained from the Google Radar API
2) Compute their generated Voronoi Tesselation to address spatial competition
3) Aggregate Census 2010 tract-level population counts into these competing geographies
No background knowledge of [R] will be required. The exercises are introductory. We will also highlight alternative software tools to achieve similar goals, such as GrassGIS and Stata
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