(Kind of Off-Topic)
Micha Silver:
As a further exercise, I took a small region of 54 cells with
floating point values, and using the feature=area option to r.to.vect
I created a vector map of polygons.
Hi Micha! I am curious about the 540.000 cells. This is _not_ really
small, is it?
I think that r.to.vect wants to build a line structure, like river channels,
but sees all the raster cells occupied, so no linear structure, and the
advice to thin first is then appropriate. If this is connected to your
question about calculating a measure of spatial autocorrelation for the
The other thread was on the openspace list and was concerned with calculating
local Moran's Ii. My comments there copied here for completeness:
In your case, temperature will be being driven by altitude at least, and
possibly other important omitted variables. I also think that you will find
Hello Milton
Roger's answer was, as always, both complete and to the point.
As a further exercise, I took a small region of 54 cells with
floating point values, and using the feature=area option to r.to.vect
I created a vector map of polygons. It produced over 36 polygons.
Most will
Dear Roger and Micha,
Thank you for the reply. I will read carefully your coments, and write back
again.
Both you clarified some interesting points to me.
cheers,
milton
brazil=toronto
2009/6/10 Micha Silver mi...@arava.co.il
Hello Milton
Roger's answer was, as always, both complete and to
Dear Grass-Gurus,
I have a 2400x2200 raster image with values ranging
from 0.1 to 42, in float format. Now I need
vetororize the image, on the way that each pixel
come to be a polygon and the pixel value be stored as
attribute.
I am trying to do this using:
r.to.vect input=temp71.img
