On 28/04/14 10:12, Venkatesh Raghavan wrote:
Hi Moritz and Markus,
On 2014/04/28 16:54, Markus Neteler wrote:
On Mon, Apr 28, 2014 at 9:46 AM, Moritz Lennert
<[email protected]> wrote:
...
This stackoverflow question is about colors, not values. Which are you
looking for exactly ?
Need to fill unique values for inter-contour area between each contour
interval.
(was thinking of vector color fill and subsequent saving as raster where
colors
could be assigned unique category values)
For values, one option might be playing with r.grow.distance and its
value=
parameter.
Can you elaborate a bit on how to use r.grow.distance for this
purpose. My input map would be a contour raster map.
Using r.grow.distance with the value output option gives you a map where
each pixel has the value of the closest non-null pixel. So, if you have
10m, 20m, etc contour values you will get areas of 10m, 20m pixel values
centered on the contours. I know that this is not exactly what you were
looking for. In order to get from your contours to 5m, 15m, etc areas
you would have to probably interpolate your data and then create new
contours at those levels, but you alreay said that this is not an option
because of the time involved. But maybe the 10m, 20m areas are already
close enough to what you are looking for.
Another option would be to go the vector route. Brainstorming:
- transform your raster contours to vector lines (r.to.vect)
- transform those to boundaries (v.type)
- if necessary, add a line at the edge of the region and patch that with
your contour lines to close polygons (v.in.region, v.patch)
- add centroids to create areas (v.centroids)
- for each boundary get the category values of areas on each side of the
boundary (v.to.db)
- then, through query of the attribute table, get for each area, the
average of the contour values surrounding that area
Moritz
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