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<div id="my_message" style="color:blue; ">Thanks to all for the
quick responses. <br>
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<br>
<div id="smartTemplate4-quoteHeader">------ Original Message ------
Subject: Re: [GRASS-user] Land cover change and forecasting
Date: Wed, 7 Dec 2016 16:20:25 +0100
To: Grass User List
From: Paulo Van Breugel</div>
<blockquote
cite="mid:bbb9c0f9-9952-e178-0b63-111a44f3a782@gmail.com"
type="cite">
<br>
<br>
On 07-12-16 15:45, Anna Petrášová wrote:
<br>
<blockquote type="cite">On Wed, Dec 7, 2016 at 9:40 AM, Moritz
Lennert
<br>
<a class="moz-txt-link-rfc2396E" href="mailto:mlennert@club.worldonline.be"><mlennert@club.worldonline.be></a> wrote:
<br>
<blockquote type="cite">On 07/12/16 15:21, Micha Silver wrote:
<br>
<blockquote type="cite">I am looking for a FOSS GIS
alternative to the IDRISI "Land Change
<br>
Modeler". The LCM both analyses change between two input
land cover
<br>
classification maps, and forecasts land cover for a chosen
future time
<br>
with various simulation models.
<br>
The GRASS addon r.change.info seems to have many options for
<br>
investigating land cover change between some input
categorical rasters,
<br>
but I can't find any module or addon for predicting land
cover at a
<br>
future time.
<br>
<br>
Are there some modules or addons that I have missed? Any
other FOSS
<br>
image analysis software I should be looking at?
<br>
</blockquote>
<br>
Have you had a look at the r.futures suite:
<br>
<br>
</blockquote>
</blockquote>
</blockquote>
<font color="#000099">The r.futures addon, as Anna mentioned, seems
to be specifically fitted to the case of urban expansion. Our
research focuses on protected areas, and forecasting land cover
under stress of climate change.<br>
<br>
</font>
<blockquote
cite="mid:bbb9c0f9-9952-e178-0b63-111a44f3a782@gmail.com"
type="cite">
<blockquote type="cite">
<blockquote type="cite"><a class="moz-txt-link-freetext" href="https://grass.osgeo.org/grass70/manuals/addons/r.futures.html">https://grass.osgeo.org/grass70/manuals/addons/r.futures.html</a>
<br>
</blockquote>
Yes, this one projects urban growth, so 2 classes. Then, there
is an R package:
<br>
<a class="moz-txt-link-freetext" href="https://cran.r-project.org/web/packages/lulcc/lulcc.pdf">https://cran.r-project.org/web/packages/lulcc/lulcc.pdf</a>
<br>
<br>
Anna
<br>
</blockquote>
<br>
</blockquote>
<font color="#000099">Good idea, I'll have a look. Thanks<br>
<br>
</font>
<blockquote
cite="mid:bbb9c0f9-9952-e178-0b63-111a44f3a782@gmail.com"
type="cite">Also have a look at the r.randomforest addon for GRASS
GIS
<br>
</blockquote>
<font color="#000099">Can I ask for some guidance how randomforests
could help here? Do you refer to the regression mode of RF?</font><br>
<br>
<br>
<blockquote
cite="mid:bbb9c0f9-9952-e178-0b63-111a44f3a782@gmail.com"
type="cite">
<blockquote type="cite">
<br>
<blockquote type="cite">?
<br>
<br>
Moritz
<br>
_______________________________________________
<br>
</blockquote>
</blockquote>
</blockquote>
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