On 15 March 2016 at 03:54, Yang, Bo (yangb2) <[email protected]> wrote: > Hello, >
Hi Bo Yang, > > In addition, I have an idea based on my MA thesis project: > > Spatio-temporal fusion of multi-scale data with in a cokriging framework. > > This project extends traditional cokriging method for blending spatial data > sets with different temporal sampling frequency and spatial resolution > (density). It can be used for both raster data and vector data, effectively > fill in data gaps due to severe weather condition, instrument malfunction, > or other reasons, filtering out data noise, and generate reliable results at > both high spatial resolution and high temporal frequency with associated > uncertainty estimates. > > It would be greatly appreciated if someone interested in my idea and could > guide me how to get start and prepare the proposal. Thanks for your time and > I am looking forward to hearing from you. > This is really interesting, In GRASS GIS Temporal Framework [0][1] already exists a module for raster gapfilling [2], it uses the module r.series.interp [3]. The idea could be to add a new method in r.series.interp and a new vector module something like v.series.interp and after you could add the new functionality to GRASS GIS Temporal Framework. I could co-mentor this proposal, maybe Soeren could be a good mentor for this proposal.... > Best regards, > > Bo Yang > [0] https://grass.osgeo.org/grass71/manuals/temporalintro.html [1] https://grasswiki.osgeo.org/wiki/Temporal_data_processing [2] https://grass.osgeo.org/grass71/manuals/t.rast.gapfill.html [3] https://grass.osgeo.org/grass71/manuals/r.series.interp.html -- ciao Luca http://gis.cri.fmach.it/delucchi/ www.lucadelu.org _______________________________________________ grass-dev mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/grass-dev
