Hello list,


I have determined major urban areas.

This is just a post to get ideas from R-users on how to qualify urban
shapes.

The data can either be binary raster (urban/ not urban), either vector.

1) Some urban areas follow linear infrastructures, thus are linear
2) Some other diverge equally from a central heart, and are circular.
3) Some are a mix and are like stars.

The idea would be to get an index that give for each area, the probability
of belonging to each of these three classes. Like a 3-column data frame

I wondered if packages already existed, or statistical methods for this
purpose. Notably, I think that topographic derivatives derived from
smoothed/unsmoothed binary data like aspect, could be used to qualify these
shapes (?)

Thanks for any idea or exchange on the subject!


Mathieu

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