We have a use case for this in pgRouting.
Basically we compute the driving distance of a network and get a
collection of points that can be represented as x,y,z where z is the
cost to get to that point.
You can visualize this data like a cereal bowl where the start node is
in the center of the bowl with a cost of zero and then as you move
outwards the cost increases as you move up the edges of the bowl.
So we take these points and we need them triangulated.
Then we we intersect the triangles with parallel planes increasing in z
to get isochronal contour edge pieces, that we could then feed to
st_BuildArea to create polygons for each isochrone.
But all this starts with Delaunay triangulation.
-Steve
On 3/24/2011 6:17 PM, Olivier Courtin wrote:
On Mar 24, 2011, at 10:52 PM, Pierre Racine wrote:
Pierre,
My goal is to define the way leading from a point coverage to a
raster. Something like ST_Interpolate("pointgeomtable",
"rastercolumn") -> raster. What would be the step leading to that?
I guess we have everything now to store a Delaunay Triangulation as
polyhedral surfaces right?
Hum yes and no, in fact it depends :)
As i said the TIN model is designed for a feature model storage (CIM use
case),
so in a single cell, a reasonable small TIN (i.e thousands of points is
fine
or even more, but not a whole LIDAR Coverage triangulation)
If we want to handle this use case, i think
we have to add a way to split and aggregate a big TIN into several small
ones
(as i recall it should be the way Oracle Spatial handle it)
Then from this polyhedral surface we can derive a raster...
Maybe a first ST_AsDelaunayTriangulation(geom) could be an aggregate
SET function returning a set of triangle...
Yes, if you produce a set of Triangles rather than a single huge TIN,
it could works with the current TIN implementation.
Question: is it something liblas could already handle ?
and maybe ST_Interpolate(polyhedral surfaces) could be an aggregate
function that would aggregate those triangle into a raster?
--
Olivier
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