The Center for Social Statistics Presents:
Instructor: Michael Tzen, CCPR UCLA
PLEASE BRING A PERSONAL LAPTOP
We will provide all the software tools (no installation needed)
Abstract:
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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