[SoC] Fwd: GSoC 2010 , Ecological Toolbox
Massimo Di Stefano
massimodisasha at yahoo.it
Fri Apr 9 09:05:20 EDT 2010
Inizio messaggio inoltrato:
> Da: Massimo Di Stefano <massimodisasha at yahoo.it>
> Data: 09 aprile 2010 15.00.55 GMT+02.00
> A: soc at lists.osgeo.org
> Oggetto: GSoC 2010 , Ecological Toolbox
>
> 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] : http://www.whoi.edu/
>
> [2] : http://habcam.whoi.edu
>
> 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 (http://hpgl.sourceforge.net/)
> 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.
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