Closed crstn closed 7 years ago
Agreed! How to allocate based upon different weights (area) & population and still be fast?
P
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On Jun 15, 2017, at 12:21 PM, Carsten Keßler notifications@github.com<mailto:notifications@github.com> wrote:
When we add population, there is currently an equal chance for any cell to receive population. To make the assignment more realistic, the chance should be higher for cells which cover a larger area than for cells covering a smaller area. The chance should be proportional to the area covered by the cell. The same applies when we remove population.
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The np.random.choice method we use can actually be called with an array that provides the probability for the selection of each element. We can just feed the areas array into that and should be done.
Done. The only trick was that the weights need to add up to 1, but that was easy enough to achieve.
When we add population, there is currently an equal chance for any cell to receive population. To make the assignment more realistic, the chance should be higher for cells which cover a larger area than for cells covering a smaller area. The chance should be proportional to the area covered by the cell. The same applies when we remove population.