Hamish wrote:
Jose Gómez-Dans wrote:
My take on this is to rasterize my vector data with gdal_rasterize (you
can have a look at the rasterisation code and see how it works, in case
you need to eg buffer your vector data), load it up in python, load my
dataset in python, and calculate
Dylan:
OK. This is the old stable branch (I think). If you can get 2.0 to
compile I would suggest trying that.
Dylan, which one is 2.0 for linux? Can't trace it.
Thanks, Nikos
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On Sat, Feb 21, 2009 at 11:19 PM, Nikos Alexandris
nikos.alexand...@felis.uni-freiburg.de wrote:
Dylan:
OK. This is the old stable branch (I think). If you can get 2.0 to
compile I would suggest trying that.
Dylan, which one is 2.0 for linux? Can't trace it.
He meant Starspan. but I don't
On Sat, 2009-02-21 at 23:53 +0100, Markus Neteler wrote:
On Sat, Feb 21, 2009 at 11:19 PM, Nikos Alexandris
nikos.alexand...@felis.uni-freiburg.de wrote:
Dylan:
OK. This is the old stable branch (I think). If you can get 2.0 to
compile I would suggest trying that.
Dylan, which one is
G. Allegri ha scritto:
Thanks for the ideas.
I've just tried Starspan but it's performance is still too slow. I've
let it run for 15 minutes...
r.statistics is probably the best solution. I've investigated the
ArcGIS method and it actually seems to use a similar method
(ratserization of the
Hi,
On Thursday 19 February 2009 13:20:52 G. Allegri wrote:
I've just tried Starspan but it's performance is still too slow. I've
let it run for 15 minutes...
I think I've seen your name in the scipy mailing list. My take on this is to
rasterize my vector data with gdal_rasterize (you can
On Thursday 19 February 2009, G. Allegri wrote:
Hi Dylan.
I didn't let it finish because 15 minutes were too many for my task.
Ok, less then 5 hours and more of v.rast.stats, but too much respect
to ArcGIS and the rasterization solution in GRASS.
I've built the 1.2.03 version, downloaded from
Thanks for the ideas.
I've just tried Starspan but it's performance is still too slow. I've
let it run for 15 minutes...
r.statistics is probably the best solution. I've investigated the
ArcGIS method and it actually seems to use a similar method
(ratserization of the features and various
r.statistics2 deals with accumulator-based aggregates, while
r.statistics3 deals with quantiles.
Great news! thanks Glynn
There is currently no way to
calculate the mode, although I'm unsure whether that is a meaningful
concept for floating-point data.
I agree, mode is about frequency so
On Thu, Feb 19, 2009 at 5:20 AM, G. Allegri gioha...@gmail.com wrote:
Thanks for the ideas.
I've just tried Starspan but it's performance is still too slow. I've
let it run for 15 minutes...
Hi,
Did you ever let it finish? Can you post the version number? I have
noticed that starspan tends to
Hi Dylan.
I didn't let it finish because 15 minutes were too many for my task.
Ok, less then 5 hours and more of v.rast.stats, but too much respect
to ArcGIS and the rasterization solution in GRASS.
I've built the 1.2.03 version, downloaded from [1].
Anyway I suspect the same about GRASS driver
G. Allegri:
I've built the 1.2.03 version, downloaded from [1].
Anyway I suspect the same about GRASS driver inefficiencies in GDAL/OGR
[1] http://projects.atlas.ca.gov/frs/download.php/667/starspan-1.2.03.tar.gz
Giovanni,
sorry for the sort-of off-topic, but how do you build starspan with
Hi Nikos.
Giovanni,
sorry for the sort-of off-topic, but how do you build starspan with
GRASS support? Do you work under Ubuntu? I am trying the following:
I haven't used it with GRASS datas but with a tiff and a shp.
My hypoteses about GDAL/OGR inefficiencies are not related to this case...
Thanks Markus. I'm out of office, but I will try your solution as soon
as possible.
2009/2/20 Markus Metz markus.metz.gisw...@googlemail.com:
Hi Giovanni,
could you please check out
svn checkout https://svn.osgeo.org/grass/grass-addons/raster/r.univar2.zonal
and let me know if the results
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