Great, Stefano, this seems a really interesting project. I will tighlty
follow it!<br>Will the log be mantained on the qgis wiky or on the SoC pages?<br><br>Giovanni<br><br><div class="gmail_quote">2010/4/9 Massimo Di Stefano <span dir="ltr"><<a href="mailto:massimodisasha@yahoo.it">massimodisasha@yahoo.it</a>></span><br>
<blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;"><div style="word-wrap: break-word;"><div><pre>Hi all
i'm intersted to propone myself as student for the GSoc 2010 :-)
the idea is dedicated to develop a Tool for Ecological Toolbox,
the aim of the project will be to provide geostatistical capabilities inside Qgis.
This summer i'll go to the WHOI [1] institute in the USA to work as "guest student"
At WHOI i'll work in a team that develops optical and acoustic tools for benthic habitat characterization.
We will develop the capability for an image-based GIS database for temporal/spatial queries
along with software for image processing, segmentation and classification of organisms
and substrate composition from a rapidly growing library of images [2].
The data will be processed using and experimenting variouse interpolation tecnique like kriging
and method to quantify the accuracy of the interpolation method.
[1] : <a href="http://www.whoi.edu/" target="_blank">http://www.whoi.edu/</a>
[2] : <a href="http://habcam.whoi.edu" target="_blank">http://habcam.whoi.edu</a>
The main aim of the project will be to develop a tool in Python to perform data interpolation based on different kriging tecniques.
The tool will be based on a gui (as Qgis Python plug-in) to allow the user to choose between different kriging algorithms,
set parameters and input data to perform the calculation, adding the ability to store the results in a relational database (postgis)
or also on more portable file-based data storage as spatialite, shape-file and kml.
The project will also have an accuracy evaluator to check the interpolation resutls and analize its error.
R seems to be a good choice but i’m also impressed by : HPGL (<a href="http://hpgl.sourceforge.net/" target="_blank">http://hpgl.sourceforge.net/</a>)
so the first step will be to evaluate and compare this two computational environment - choice will be done on speed and ability to handle huge dataset
This tool will be easily integrated in Planet-Sasha (GSoC 2009), it will be released finally
as a stable cross-platform tool (i can perform testing on Linux, MacOSX and Windows),
to provide a fast and easy way to visualize data in a 3d gis-environment.
for further details and timeline i published the application on the GSoC site.
thanks to All, any comments is really welcome.
cheers,
Massimo.</pre></div></div><br>_______________________________________________<br>
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