Look around the world now – Paris, London, Hong Kong, wherever – the cities are where the value is. The 12 acres of Downtown Detroit are the 12 most valuable acres in the entire state of Michigan.
John Norquist, former Milwaukee mayor
(via Bobby Tanzilo’s OnMilwaukee blog)
A personal first today: a request to share my code. So, here is a snippet of the R script I used to make this histogram map legend:
Not very elegant, but it does the trick. Thanks for asking!
It’s always going to be hard to fill gaps, but locating them is a key first step.
Really? I find this difficulty surprising.
I got a lot of satisfaction in mailing this triptych to @kenkofoto as part of the @postcodeorange project. And I’m quite happy that he was so pleased.
So what exactly did I send? From left to right:
- Milwaukee: visualized by the age of 139,931 residential buildings
- Milwaukee’s Silver City neighborhood
- South 35th Street, Milwaukee
Plus, a little histogram I plotted with R to use as a map legend.
No other building material is more firmly embedded in the physical or psychological landscape of Milwaukee than Cream City brick. Once favored for their durability, the bricks show their vintage. Since Cream City bricks are so porous they readily accept airborne contaminants which results in bricks with various colorations. Found throughout town, these bricks bear a variety of patinas from a natural cream color, to a copper green and all the way to an almost black. From the patina one can speculate on the state of affairs in the historical past. The discolored bricks index the past through their materiality.
Fantastic. Can I order up a poster? Seriously.
No, this is not a meteorological map of the latest polar vortex to descend upon Milwaukee. It’s actually a ward-by-ward voting map of the 2012 presidential election in the four-county metro area. Unlike the weather and other natural phenomena, this pattern of ever intensifying political polarization hews closely to county lines.
Looking forward to reading future installments of Craig Gilbert’s Journal Sentinel series on this.
(map via Dividing Lines: A region’s huge and growing partisan schism - JSOnline)
I met milwaukeestat.com at a gallery night event last year. I had too much wine, but we had a great conversation about art and data and our mutual love of each. We made plans to collaborate on something, someday. I was happy to send him a photo in trade for some personal data visualization. He emailed me and asked for a significant personal MKE address. I sent him the address where I was born, on south 35th Street.
I’m still wrapping my head around this project, but I feel deeply touched by the level of personalization in it. That green rectangle was where I was born. The rest of the colors are taken from one of my photos: one that I’m ashamed to admit I don’t remember (and can’t search for because of my dumb titles).
This trade has blown me away. It represents the perfect combination of art and data.
This is really unbelievable. A personalized map of MKE, including the place I was born. He used the colors from my own photo. So cool…
Trading with @kenkofoto has been an early highlight to the new year. His work has profoundly deepened my appreciation of Milwaukee over the past couple of years. And so, it’s a real treat to send KK back a little Milwaukee love.
Here is the photo that inspired the visualization’s color pallet.
Check out @postcodeorange to witness the lovely manner in which KK connects Milwaukee with the world.
In case you are keeping score, Milwaukee seems to be slightly more pleasant than Madison.
What is your city’s Williamsburg? What’s its hippestâor formerly hippestâor sometimes just youngestâneighborhood, the one with the art galleries and the boutiques and the lines for brunch? (And what, for that matter, is its Bushwick, or “Next Williamsburg”?) If you don’t know off the top of your head, don’t worry. We do, thanks to the collective knowledge of Gawker readers.
This is pretty accurate for Milwaukee… Eastside to Bay View?
I disagree. I love Milwaukee, but comparing it to New York CIty in this way is a bit silly. Plus, I wouldn’t put much stock in the data. The sample size of Gawker submissions for Milwaukee seems to be 11.
Okay, I’m starting to get a handle on fine-tuning plots with R’s ggplot2 graphing library. This one is based on the City of Milwaukee’s MPROP database.