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Would it be possible for the cartogram to scale features absolutely as well as relatively? Only the latter seems to occur at the moment that is, total area seems to preserved as U.S. states are scaled against one another. For example, with the dataset being presented in the attached image, the US should being nearly twice as large as it actually is, yet the cartogram is roughly the same size as the unmodified map.
The text was updated successfully, but these errors were encountered:
This is basically a dupe of #20, and really of #3. Unfortunately I haven't had much time to work on this library in a couple of years, so if you're interested in helping out, pull requests are welcome!
I looked through the issue list before submitting to avoid duplication.
I don't see the connection with #3, nor really follow what they mean.
#20 could be related, but zero is an edge case, so it might be addressed
without solving it more generally.
I may try to play around with the code at some point if I can find and
follow the paper.
Another way of doing it would be to find the total area of the features, then proportionally scale the output range in such a way that you end up with the same total area. That's a slightly more complicated process, but might be possible to generalize within the library.
Would it be possible for the cartogram to scale features absolutely as well as relatively? Only the latter seems to occur at the moment that is, total area seems to preserved as U.S. states are scaled against one another. For example, with the dataset being presented in the attached image, the US should being nearly twice as large as it actually is, yet the cartogram is roughly the same size as the unmodified map.
The text was updated successfully, but these errors were encountered: