No different algorithms - what the UVWRandomizer allows you to do is apply randomness based on object, instance, polygons, etc. so the same randomization algorithm is involved, just it is triggered to calculate a new random number when you are on a new polygon (that's the new randomization mode). That would not apply to Scatter though.
BTW in what way is the randomization in Scatter "not random enough", that part confuses me - an example of what you get vs what you would have wanted (some sample image from another source, whether that be photo or otherwise) would be handy to know what you mean.
Hi Tom.
Ok. It's not easy to explain, and I hope you don't think I'm crazy for showing this. But, attached I'm sending 3 images done with corona scatter and 3 done with Forest Pack (also a PDF file for comparing, and the Max file).
I changed only the random seed between each option.
In the Corona images there are several groups of 3, while in the forest pack images I found only one.
What I'm trying to say is that I noticed clusters in Corona scatter.
Also it seems to me that Corona doesn't use all colors as many times evenly (in this example few white ones), while Forest pack does. But this may be just my impression.
Edit: The same would go for MultiMap I think.
Hi lupaz,
thanks for your example. The thing is that in our Scatter we are using (or at least trying to use) uniform random distribution during instance generation. :-) In your example you have 8 cube types and 195 instances of them. If I have computed the math correctly for your case (using Markov chains) there is only about 6% probability that there will be NO triplet of same cube types in a row. In other words there is about 94% probability that 3 or more same cube types in a row will appear. Obviously, more instances you create, the latter probability gets increased (195 is already two-degrees larger than 3 and 8).
So from this point of view it is rather Forest Pack that does not behave 'randomly'. It clearly uses some non-uniform distribution. Or you were extremely lucky and hit those 6%, hehe. :-) Anyway, ATM it does not seem to me that our Scatter behaves differently than designed = uniformly. But I get your point and maybe we could offer some other distribution type(s) that might serve certain user scenarios better. I am taking a note for the future. ;-) Thanks.
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