Robert,
I keep on because this is an important point for the analysis of time
series of image:
Actually I get stackApply() faster than max() if the nb of layers increases:
Example with 3 larger layers:
r1 - raster(matrix((1:900),3000,3000))
r2 -
Hi Roosbeh,
Dear members,
I am using gwr.mixed and gwr.basic functions in package GWmodel. In the
function specifications it has mentioned that argument: fixed.var, which
is
independent variables appeared in the formula to be treated as global
I am wondering how should I specify (maybe
Hi everyone.
I'm trying to open some shapefiles, but the process is still not complete after
25 minutes. Looking at the shapefiles in ArcGIS, I find that these files have
roughly 500K entries. I was wondering if this processing time to open the
shapefiles is normal. Here is my configuration:
Manuel,
What do you mean by it didn't work?
You should have got an object named forest,
post the same info as for cob_r
Agus
On Tue, Oct 15, 2013 at 6:49 PM, Manuel Spínola mspinol...@gmail.com wrote:
Dear list members,
I have a raster with land use data (with values from 1 to 9). I want to
Thank you Agus,
Yes, it works. I did not recognize that the raster has 2 levels, 0 and
1, and the 1s were forest. I put 2 colors and now I can display the forest
in the raster.
Best,
Manuel
2013/10/16 Agustin Lobo alobolis...@gmail.com
Manuel,
What do you mean by it didn't work?
You
Hi Phil,
I have also found readOGR to be very slow when reading a large shapefile (in
my case, a shapefile with 85000 polygons and ~ 200 columns in the attribute
table).
In my case, I would repeatedly re-read the shapefile each time I was working
on the script.
To speed things up, I found it
Hi Agus,
Yes, you are right, in that case stackApply is faster (but note that
you had a mistake in the indices argument that further increased the
difference but is another reason why I would not use stackAppy
unless I really needed it). I did not think it would be possible that
a more
