[Update 10/13 3:41 PDT: the Hispanic data for California, Kentucky and Wisconsin was incorrect. I’ve now uploaded the correct data. Thanks to CalifornianInTexas and nico for noticing.]
Now in Daves Redistricting!
My time coming, any day, don’t worry about me, no
…
California, preaching on the burning shore
California, I’ll be knocking on the golden door
Like an angel, standing in a shaft of light
Rising up to paradise, I know, I’m gonna shine
I added the data for California to the server last night. I had to make a little modification to the code to handle the new format for block group data. Both these states use block groups because no shapefiles for voting districts were provided to the Census Bureau.
Warning: for California, the Assign Old CDs operation took 10 minutes on my desktop machine (3 year old dual core AMD chip, 2.2GHz chip speed, 2GB RAM, Windows XP — CPU bound operation). But it works!
I haven’t totally verified that everything is correct, but the population numbers look right and the assigned old CDs look reasonably close.
[Updated] All states with more than 1 CD are now supported. (OK and RI fixed!)
Enjoy!
Finally, I can redistrict my home state, California. Or as we say in California, Eureka!
Thanks for getting California and the other states with more than 1 CD on the App!!!!!!!!!!!! I just have one question and I bet you will get this alot: Can you tell me when you will put partisan data onto the App? You mentioned awhile ago you would do it one state at a time.
Could you give a range of when at least one state will have partisan data and which state it is?
Again, thanks alot for all your work!
But thanks for all your hard work!
We should see some good maps that will eliminate several Repubs fairly shortly. I don’t think we need 19 right-wing Repubs in California.
I expect Nancy Pelosi to push hard for an aggressive redistricting plan.
By the way, what big states are left? I can only think of Wisconsin.
Would it be possible to add them once you’re done with everything else? I know it’s only theoretical, but there has been discussion about Montana around here, and it would be interesting to mess around with smaller states. At least, I would think so.
Regardless, many thanks for all your hard work in making this wonderful application.
Now we can see how many ways we can gerrymander ourselves to a more progressive majority!
is rearranging the districts in NorCal from Sacto northwards. If we play our cards right, we may end up with only 1 Republican in this vast area.
Here is what I have so far.
CA-01: Still takes the North Coast counties Del Norte, Humboldt, and Mendocino. To account for population shifts, I shifted some of Sonoma out (which I gave to CA-06 to maintain its status as a North Bay district) and added the “tail” of Sacramento County as well as Obama-voting Trinity County.
CA-02: This is the “Republican vote sink” in Northern California. I shifted out Trinity as well as the college town of Chico, and added Modoc and Lassen, the most Republican counties in the state.
CA-03: I shifted the lines around to put this district entirely in Sacramento County and possibly make it more Democratic, making things even harder for Lungren.
CA-04: I made this district more compact and possibly Democratic enough for Charlie Brown to win by shifting out Modoc and Lassen to CA-02, and adding Chico. I also shifted parts of western Placer County, which went to the 5th.
CA-05: Still Sacramento-centric, only taking in a few northern suburbs in Sacramento County as well as some of western Placer County. This district is probably slightly more Republican, but should still be cakewalk for Matsui.
CA-06: Added in the parts of Sonoma County that I shifted out of CA-01.
Firefox crashed on me (again) and I had saved my map of California, but I don’t know how to open it. I hope my hard work is not lost, because I had already spent over 4 hours and had only gotten started on the Bay Area. (SoCal will probably take a whole day.)
Thanks!
Screen shot here (ignore my Kingdom Hearts background ._.)
I am frustrated and annoyed about the map2jpg feature, and this is the best i can do. Basically CA-04 covers every county fully except for El Dorado and Placer (other part is with CA-02), for Matsui’s district, about half of her base is gone to Dan Lungren’s 3rd district, but still manages to hold on to the other half, and taking in the other part of Yolo that CA-01 couldn’t fit in. I am not even going to attempt SoCal, as i have already wrecked my brain doing that.
Hi Dave, all,
I loaded CA and assigned old CDs.
I noticed very high changes from 2000 in some districts.
In particular CA-47 appears to have lost more than half of its residents.
Is this actually true?
Or is it possible that the population is assigned incorrectly in the application database, or that the shapefile for this CD is incorrect?
Thanks.
-j
redistricting California as best as I could. There are still some population areas not in a district, but they are too small for me to find, so I will just leave the map as is for now. I will post a diary on what I have done with my map.
I’ve noticed they’re off in places.
For example, Gwinnett: http://www.gwinnettcounty.com/…
I think Maryland will be first. I’ve mucked around with the data a bit and now need to write some code to use it. After that, possibly NY, because Jeff Cao has done some work on that data. The caveat (from Jeff) is that for some states the voting districts from 2000 (which is what I have from the census bureau) don’t always match those from 2008. I.e., the states may have changed them and so the reported data from the last election doesn’t match up. We’ll have to see as we go thru states where we have that data to see.
California didn’t provide voting district shapes in 2000, so I’m using block groups. For states like that, it’s possible for someone to map the partisan data to block groups (because the voting districts have a map back), but some block groups get split, naturally. But you could get reasonably close even without getting the splits perfect. I would not be able to do that work, but I can create a format for the data so others who are so inclined could.
Thanks.