On 28-02-17 14:35, Moritz Lennert wrote:
Le Fri, 10 Feb 2017 19:15:25 +0100,
Paulo van Breugel <[email protected]> a écrit :
On 10-02-17 18:41, Moritz Lennert wrote:
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Besides, manually, I calculated
Moran's I and Intrasegment Variance by i.segment with 8 instead of
4 neighbors (default). Even if the object looks kind of "
pixelated" at the border, I received smaller Moran's I and
Intrasegment Variance values with i.segment 8 NB in comparison to
4 NB (same settings for minsize and threshold). Maybe the "-d"
flag of i.segment could also be added to i.segment.uspo...
That shouldn't be too difficult. Internally, i.segment.uspo uses
the addon r.neighborhoodmatrix which has a '-d' flag. I just really
do not have the time to implement this right now. You could try
yourself by opening the i.segment.uspo (or on Windows
i.segment.uspo.py) file and adding "flags='d'" to the call to
r.neighborhoodmatrix (lines 535 and following):
res = gscript.read_command('r.neighborhoodmatrix',
input_=mapname,
output='-',
sep='comma',
flags='d',
quiet=True)
This will always apply the flag. When I have time I can add this as
a flag to i.segment.uspo.
A slightly larger project I have is to actually extract the code
for the calculation of the spatial autocorrelation and create a
"r.spatialautocorrelation" module. But not now... ;-)
+1 (or make that a double plus) that would be really great!
r70696: r.object.spatialautocor: new addon to calculate global spatial
autocorrelation for raster objects
Brilliant, will try it out a.sa.p.
Moritz
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