* image [2017-06-23 08:03:42 -0700]:
Good afternoon,
Hi Laurent,
i'm working on windows with several opensource tools (qgis, otb, grass...),
I generated several OTB texture indices. Now, i want to evaluate the
information 's redundancy thanks to a Principal Component Analysis.
=> Is it p
Can you please stop patronizing people?
Please assume that GIS users can tell the
difference between _exploratory_ and _explanatory_
and are well aware of what specific statistical
methods can and cannot achieve. Whether
or not someone abuses statistical flexibility
is not a question that needs to
Would like to have offline discussion
Dave
--
In modern fantasy (literary or governmental), killing people is the
usual solution to the so-called war between good and evil. My books are
not conceived in terms of such a war, and offer no simple answers to
simplistic questions.
- Ursula Le G
Hi,
thanks but nope:
CANOCO comes from the 1970s and is widely outdated by now,
and not achieving (much).
Just a few botanists (=not trained statisticians or coders) still use it,
if at all.
It usually asks the wrong questions and
uses pretty old methods that are widely improved by now,
e.g. mach
Hi,
I am not at what needs to be analyzed in this case but yes, canonical analysis
needs to be well understood before being used.
You can go to Pierre Legendre and Louis Legendre, Numerical Ecology, for help.
P Legendre also has a book on Spatial analysis in R that can be found.
Cheers
Nico
Hi there,
in my view and if I may comment here:
while R is scary (as stated below), so are probably many of the wrapped R
packages really,
PCAs are even more scary, and their underlying mindsets,
and the real horror starts when such things get
implemented into 'homebrews' and such tools, or
into
Hi,
You can use R for PCA.
Use the R Commander package to add a GUI. R can be scary at first.
Nicolas
> Le 23 juin 2017 à 11:03, image [via OSGeo.org]
> a écrit :
>
> Good afternoon,
>
> i'm working on windows with several opensource tools (qgis, otb, grass...),
>
> I generated several OT
Good afternoon,
i'm working on windows with several opensource tools (qgis, otb, grass...),
I generated several OTB texture indices. Now, i want to evaluate the
information 's redundancy thanks to a Principal Component Analysis.
=> Is it possible to do that with some opensource tools (otb? qgis?
Dear QGIS Users --
I am a bit clueless about the "Set Target Resolution"
option in the Raster Georeferencer.
The online help is somewhat vague about this:
"... define the pixel resolution of the output raster."
Does this refer to a pixel scaling factor or
"pixels per unit (of what?)" in the outp
Hi Benjamin,
Of course they can be found in the Python folder ;-)
Go to .qgis2 (in Windows in the user profile folder, in Linux/OSX in the
home folder), then to "python/plugins/qgsexpressionsplus" or
"python/plugins/refFunctions".
Self-written custom Python functions end up in "python/express
Hi all,
I'm looking for the folder where the python files of functions available in
expression builder are installed. I want to get some inspiration for a special
custom function I have to write. Thanks for any help!
Best regards
Benjamin
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