In this screenshot of Central Silicon Valley, Census tracts have been combined with a constraints layer, and then cut with a 150 meter grid in the EPSG:3310 projection. Using imputation tables and external sources, each grid cell is then computed. The result is a statistically defensible, higher-resolution and handily applicable set of grid cells.
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ACS 5yr Viz Processing
A systematic way to choose, extract and visualize data from the massive American Community Survey 5 Year census product is a challenge. I have written python code to ingest raw inputs into tables, and a small relational engine to handle the verbose naming. An extraction and visualization process is underway… something like the following: 0) […]
Numeric Stats on Bay Area Intersection Counts
In preparing for an upcoming Datathon, a column of data in PostgreSQL numeric format needed formatting for presentation. “Intersection Count” intersection_density_sqkm is a count of street intersections per unit area – a quick way to measure density of the built environment. A table of grid cells (covering the nine-county San Francisco Bay Area) that the […]