Since creating training areas is not such an intensive digitizing
operation as full-scale vector creation, perhaps v.edit could be used
in a wxPython replacement for i.class. An advantage of v.edit is that
it works cross-platform now.
Michael
On Dec 3, 2009, at 8:06 AM, [email protected] wrote:
Date: Thu, 3 Dec 2009 11:33:27 +0000
From: Luis Lisboa <[email protected]>
Subject: Re: [GRASS-user] Supervised classification without i.class
To: Martin Landa <[email protected]>
Cc: [email protected], [email protected]
Message-ID:
<[email protected]>
Content-Type: text/plain; charset="iso-8859-1"
Hello Martin thanks for your reply.
I am afraid not -- only non-interactive approach. Digitize areas,
rasterize
vector areas and >use i.gensig.
Ok. But If I try to have Linux or Mac OS machine, I could use
i.class right?
About your links, ehehehe unfortunely Czech is not in my language
domain
(English, Spanish, French, Catalan). But I will try to get some
ideas :)
Thanks
Import data to native format using v.out.ogr or link data using
v.external (some problems can occur). The OGR interface is being
improved in GRASS 7.
Uhm I'm planning to use 6.4 (it has binaries). has anyone tried with
success
this operation?
Thanks
Best regards
Luis Lisboa
Universitat Pompeu Fabra, Barcelona
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