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Use random sampling to generate maps that meet pre-set criteria

Looking for someone with knowledge of how to write, apply, and iterate on random sampling algorithms in Python and/or to generate maps using adjacency lists scraped from shape files.

The goal is to apply the algorithms to produce 100 districts for house elections in the State of Virginia via random sampling. As my colleagues have previously done, you should theoretically be able to use the algorithms above with the adjacency list you helped me get to enumerate all possible partitions and draw random maps based on that and set criteria. The set criteria that needs to be adhered to comes from here: [url removed, login to view]

I have attached the csv file for the adjacency list. Please reference these links to get a better understanding visually of how the adjacency list was computed: [url removed, login to view] | [url removed, login to view] | [url removed, login to view]

I do have some algorithms that can potentially be adjusted for this purpose. I can send them to whoever demonstrates the potential background for the task. The random sampling algorithms that were previously used on Minnesota include:

1. One that enumerates all possible partitions of a small map into districts

2. Python-igraph in order to prototype enumerating possible partitioning schemes

Each of the lines correspond to a partitioning of the Minnesota MCD's in the input files, which can then be visualized by editing.

3. If you know R, there is also a package called redist that provides the ability to use MCMC sampling. However, despite talking back and forth with the author of the package, I still can't figure out how to apply it to the adjacency list data that I have.

4. There is a gerrymandering and computational redistricting python package that might also be useful: [url removed, login to view]

I can also send the shape file initially used in creating the adjacency list if needed. Output should be a shape file or other geo file with 11 districts.

Kỹ năng: Thuật toán, Xử lí dữ liệu, Khoa học dữ liệu, Geographical Information System (GIS), Python

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Về Bên Thuê:
( 0 nhận xét ) United States

Mã Dự Án: #15680990

9 freelancer đang chào giá trung bình $232 cho công việc này

$277 USD trong 3 ngày
(24 Đánh Giá)
$155 USD trong 3 ngày
(4 Đánh Giá)

Hello I have read your post carefully and feel very confident on your job As you can see my profile, I am python expert so that I can help you Please discuss about your project with me Relevant Skills and Experience A Thêm

$350 USD trong 3 ngày
(18 Đánh Giá)
$250 USD trong 7 ngày
(8 Đánh Giá)

Hello. Maybe I could help you about this project. Regards, Slobodan

$275 USD trong 5 ngày
(7 Đánh Giá)

Hello, I'm python developer with huge experience in machine learning and mathematician with a number of publications. Also I'm participant and problem writer of many algorithm competitions Relevant Skills and Experie Thêm

$200 USD trong 3 ngày
(6 Đánh Giá)
$155 USD trong 3 ngày
(4 Đánh Giá)

Hello Professor Khan here, i have done PHD in GIS /Remote sensing and presently i am teaching gradute classes at a local university. I have gone through your requirement and i am confident that i can help you in this p Thêm

$150 USD trong 5 ngày
(0 Đánh Giá)

I will write the python algorithm to create the random boundaries in ESRI software & then draw random maps based on Minnesota MCDs and other cartographic needs you have. Relevant Skills and Experience I have over 20 y Thêm

$277 USD trong 7 ngày
(0 Đánh Giá)