Image sampling

I am using the image sampler to produce a 2D representation of the population density around the globe.

Instead of using circle radius to represent differences in density, I would like to have a higher density of points where the population density is higher.

Does anybody know how to do this?

Attached below is the GH file and the image file.

Fraser

Replies to This Discussion

Permalink Reply by djordje on December 18, 2012 at 11:13am

Hi Fraser,

It's a bit cumbersome definition, but maybe it's what are you looking for:

Set "Run definition" to "True" in order for definition to start working.

Attachments:

population2.gh, 150 KB
population2.jpg, 48 KB

Permalink Reply by djordje on December 18, 2012 at 1:33pm

Image sampler returns the brightness of particular pixels inside of assigned picture, related to particular point in Rhino. It can return saturation, RGB colors..., but in this case I chose brightness.
I divided that list of brightnesses for each point in few lists based on their brightness values - for example list1 are only points with brightness value >0.98, list2 two are only points with brightness value >0.95 but <0.98 and so on...
Then I used True, False pattern to cull points from these lists, in a way that, the less value of brightness the list has, the more circles inside of it are culled (more False patterns are).

This means that list with largest values of brightness (closer to 1.0) will have less circles culled, and vice versa - lists with smallest values of brightness (closer to 0.0) will have more circles culled.
This is one way of achieving the density pattern you requested.

Permalink Reply by Artur Jorge Rocha Martins Branco on November 12, 2014 at 6:20am