Design an alogrithm for world population distribution

$30-250 USD

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hace más de 15 años

$30-250 USD

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If you're interested in bidding on an unconventional project, read on: We'd like to know how we can divide the surface of the earth into 600 areas. As much as possible, these 600 areas should be: - equal in population (so about 10M people in each) - equal in size (surface area) - country boundaries are not important There are obviously many ways to do this. What we're looking for is someone who can come up with a way of calculating this - a possible alogrithm - that can be run to generate possibilities. There doesn't need to be one correct answer. There may be nobody here who can offer this kind of service, but if you're interested, and have ideas about how it could be done, please get in touch. Possible source for data: [login to view URL]

Data Processing

Engineering

ID del proyecto: 376072

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7 propuestas

Proyecto remoto

Activo hace 15 años

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7 freelancers están ofertando un promedio de $223 USD por este trabajo

@lon1275

Hi this is an interesting project - I would be happy to help with. I have developed several alogrithms over the years for GIS location services using data sources from several locations concerning population centers. I am located in China and the USA developing systems for energy distribution and lighting. Looking forward to working with you , Warmest regards, Lonnie Mesick

$250 USD en 7 días

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@shahramjaved075

Please see my PM. Thanks

$150 USD en 5 días

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@stephguggi

I have created similar algorithms for the purposes of statistical estimation formulas for various populations in the U.S. I have a Master's in Statistics and a teaching background, so I'll be able to create the algorithm and explain it to you as well. I am based out of the Midwest. Thanks, Stephanie

$250 USD en 7 días

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@sfan

One way to do it (you get it for free): ---------------------------------- 1. Create a triangular mesh to cover the world sphere (for instance, start with an icosahedron, and divide every face in enough triangles to comply with your resolution requirements: 1, 10, 100, ... km^2) 2. Group the triangles in 600 (almost) equal surfaces distributed over the face of the earth ignoring population density. 3. Calculate the population behind every triangle using the available statistical data 4. Create a weighting function to evaluate how good a group is accounting for the people behind, its shape and any other parameter you like. 5. Move triangles between adjacent groups maximizing the weighting function until a maximum is reached. 6. Repeat using different initial conditions or changing the weighting function until a satisfactory solution is found. ---------------------------------- If you are interested I will implement that solution in software (including extensive documentation) and sell it to you under an Open Source license for $1500. I am quite busy at the moment and will not be able to start working on this until mid-february... so check first with the other cheaper bidders and if they fail you can come back to me ;-)

$250 USD en 30 días