Compiled with openmp and liblas?
Doug
On Sat, Feb 23, 2013 at 1:29 PM, Rashad M wrote:
> Hi Markus,
>
> grass70 built is available in ubuntugis-testing[1]. I will maintain daily
> updates depending on the changes in svn. package name issue is also
> resolved now
>
> package name: grass70
> vers
Soren,
What a great Friday afternoon brain stretch! Thanks!
Doug
On Fri, Feb 22, 2013 at 4:13 PM, Sören Gebbert wrote:
> Hi,
> Am 22.02.2013 21:44 schrieb "Newcomb, Doug" :
>
> >
> > t.create--> t.register--> t.vect.observer.strds in GRASS7 ? Looks
0-965-6262 (SHESC), 480-727-9746 (CSDC)
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> http://www.public.asu.edu/~cmbarton
>
> On Feb 22, 2013, at 12:31 PM, "Newcomb, Doug"
> wrote:
>
> Michael,
> Y
Michael,
You could use v.what.rast in a python script , iterating the raster layers
with an sqlite database back end. I think that would go up to 2000 columns
for each point you have.
Alternatively, you could use a bit of python with gdal. I was trying to do
something similar in GRASS, to chang
nd compiler friendly.
>
> ~Seth
>
>
> via iPhone
>
> On Feb 9, 2013, at 3:27 PM, "Newcomb, Doug" wrote:
>
> Seth,
> I finally got a chance to patch your enhancements from the GRASS 70 svn
> code I pulled last night.
>
> I compiled with these options:
Seth,
I finally got a chance to patch your enhancements from the GRASS 70 svn
code I pulled last night.
I compiled with these options:
./configure --with-gdal --with-freetype
--with-freetype-includes=/usr/include/freetype2 --with-proj --with-sqlite
--enable-largefile --with-cxx --enable-64bit
I would vote for multicore OpenMP/OPENCL. I just purchased an 8 core AMD
Vishera MB and CPU combo for under $300US to use at home , which is faster
than the 8 core Xeon server system I used to do statewide solar irradiation
modeling at work for a 755 Million cell grid for 365 days (half hour
incr
+1
On Thu, Nov 15, 2012 at 11:23 AM, Markus Neteler wrote:
> Hi,
>
> since the r.stream.* modules are continuously requested and IMHO
> sufficiently
> tested (according to user reports), I would move them to core if there are
> no objections.
>
> Markus
>
I guess the question is, if you then performed v.rast.stats for an
underlying raster using the overlapping buffers generated with -t , how
would the statistics for the overlapped polygons work? Think 2 1km circles
whose centers are .75km apart.
Doug
On Thu, Nov 15, 2012 at 7:51 AM, Markus Metz
w
>r.mapcalculator to divide the value of each raster by the area of a raster
cell.
This should be divide the area of a cell by the value of the raster ( from
the polygon). Sorry, no caffeine yet this morning.
Doug
On Thu, Nov 8, 2012 at 7:53 AM, Newcomb, Doug wrote:
> Markus,
> The fi
Markus,
The first thing that occurs to me is to make the value of the first raster
from the polygon layer the area of the polygon. r.mapcalculator to divide
the value of each raster by the area of a raster cell. This should give
you a raster with the value of the proportion of area of the polygo
>* Exporting animation as mp4 or similar :)
Recommend webm or ogg theora to avoid patent entanglements.
Doug
On Tue, Oct 30, 2012 at 9:35 AM, Sören Gebbert wrote:
> Hi Anna,
> you have implemented a great tool! I was able to visualize two space
> time raster datasets with different temporal gr
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