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I agree, but they are nice visualizations nevertheless. Relevant xkcd: http://xkcd.com/1138/

I don't know Seatle, but it looks like the major highways / avenues are highlighted in these crime maps, perhaps they don't have too much population or parking lots but they have a lot of traffic. (I don't know Seatle, perhaps they do have a lot of population and parking lots.)

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The hotspots north of the band of water (canals) are definitely lower-income concentration areas; a couple of them highways with seedy hotels (prostitution/drugs).

The main blob is "city center". Some low income areas in there don't look very visible at this scale, but also "where everyone is out on streets" (work in daytime, nightlife at night).

I think that a really cool feature, that I am not sure if it has been implemented or not, is a date package that can do a lot of splicing. If I wanted to know the exact day of the week, sunset time or dusk time, or isolate specific hours without tons of tedious work in Pandas. It would probably help out with normalizing population density such as downtown when not in the working hours but maybe on weekends.

All of the highlighted streets have a lot of businesses with a lot of parking and a lot of traffic through the area.

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