<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Hi all<br><br>i'm intersted to propone myself as student for the GSoc 2010 :-)<br><br>the idea is dedicated to develop a Tool for Ecological Toolbox, <br>the aim of the project will be to provide geostatistical capabilities inside Qgis. <br><br>This summer i'll go to the WHOI [1] institute in the USA to work as "guest student" <br>At WHOI i'll work in a team that develops optical and acoustic tools for benthic habitat characterization. <br>We will develop the capability for an image-based GIS database for temporal/spatial queries <br>along with software for image processing, segmentation and classification of organisms <br>and substrate composition from a rapidly growing library of images [2]. <br><br>The data will be processed using and experimenting variouse interpolation tecnique like kriging <br>and method to quantify the accuracy of the interpolation method.<br><br>[1] : <a href="http://www.whoi.edu/">http://www.whoi.edu/</a><br><br>[2] : <a href="http://habcam.whoi.edu/">http://habcam.whoi.edu</a><br><br>The main aim of the project will be to develop a tool in Python to perform data interpolation based on different kriging tecniques.<br>The tool will be based on a gui (as Qgis Python plug-in) to allow the user to choose between different kriging algorithms,<br>set parameters and input data to perform the calculation, adding the ability to store the results in a relational database (postgis) <br>or also on more portable file-based data storage as spatialite, shape-file and kml. <br>The project will also have an accuracy evaluator to check the interpolation resutls and analize its error.<br><br>R seems to be a good choice but i’m also impressed by : HPGL (<a href="http://hpgl.sourceforge.net/">http://hpgl.sourceforge.net/</a>) <br>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<br><br>This tool will be easily integrated in Planet-Sasha (GSoC 2009), it will be released finally <br>as a stable cross-platform tool (i can perform testing on Linux, MacOSX and Windows), <br>to provide a fast and easy way to visualize data in a 3d gis-environment.<br><br>for further details and timeline i published the application on the GSoC site.<br><br>thanks to All, any comments is really welcome.<br><br>cheers,<br><br>Massimo.<br></body></html>