One area I would love to see more work on is Spatial Indexes. Especially using approaches like leveraging existing indexing schemes like B-trees and collapsing geometries to 2d.
See http://groups.google.com/group/h2-database/browse_thread/thread/cc65db46b9454d46/0a9ef8fd81148d0a?lnk=gst and http://groups.google.com/group/h2-database/browse_thread/thread/edc32e91ad3c41c2/96a421272ec92b77 I haven't read the paper in the first, but I imagine there's more to be done. Would be great to finish off the H2 spatial stuff (it already has all the simple features for sql functionality by using JTS) with an awesome spatial index. This could be used as a great native format for uDig and to ship with GeoServer. Could also investigate an approach that would also work with SimpleDB http://aws.amazon.com/simpledb/ Could extend on the h2 to use it as a way to do cross database joins - load things up in to H2 to do the join, maybe with some sophisticated caching mechanism to sync. Like to do the types of joins ArcSDE can do. Chris Christian Müller wrote: > Thanks for your proposals. Some answers > > 1) My fist study was computer science and this is my primary target > 2) I skipped the remote sensing exams in favor of DBMS stuff. > > My areas are Java,J2ee,Web,DBMS,Security,Transactions, ... > > I am looking for a theme combining my knowledge in computer science with a > GIS topic. > > Hope that makes it clearer. > > christian > > > Martin Desruisseaux writes: > >> Hello Christian >> >> There is of course nice work that could be done, but it depends on which area >> you would prefer to work. Referencing? Coverage? Geometry? >> >> In this email I will assume coverage based on your coverage-jdbc plugin, but >> I >> could develop a bit about Referencing if it can be useful. However in order >> to >> give more detailed suggestions, it would help if we had some idea about when >> the >> work would start (because the proposal may depends on ungoing work) and how >> long >> you can work on it. >> >> I would also like to know which kind of scientific theory you are looking >> for. >> Is is computer science, mathematic or some application field (oceanography, >> meteorology). >> >> Below is a proposal applicable to oceanography which would require a good >> background in mathematic. If you choose those kind of proposal, we would be >> glad >> on our side to try to help you to achieve them. >> >> >> >> Proposal Number #1 >> ------------------------------------------------------------------- >> >> In oceanography we have GridCoverage2D of different parameters >> calculated from Remote Sensing data. Some of the most commons >> parameters are: >> >> - Sea Surface Temperature (°C) >> - Chlorophyl-a concentration (mg/m³) >> - Sea Level Anomaly (cm) >> >> Unfortunatly some of those data may be missing because of weater >> conditions. Sea Surface Temperature are not available if the sky >> is cloudy, which is very common in tropical area. Sea Level Anomaly >> can be available despite cloud cover, except if it is raining hard. >> >> In some cases we really need some estimation of a missing parameter >> even if it is just a very approximative idea. If a Sea Surface >> Temperature value is missing because of a cloud cover, we can still >> get some idea using other parameters because they usually have a >> strong correlation. For example cold water is often associated with >> low value of Sea Level Anomaly, and conversely (hot water is often >> associated with high value of Sea Level Anomaly). >> >> There is what we could do, most simplist approach first, more >> elaborated approach later: >> >> 1) Compute the correlation between two arbitrary parameters >> (in our example Sea Surface Temperature with Sea Level >> Anomaly) using some historical data. Then when a Sea >> Surface Temperature is missing, use the correlation for >> computing an estimation of "probable" value using the >> Sea Level Anomaly. >> >> 2) Above approach is very naive (real nature is much more >> complex than the linear relationship assumed above). We >> can still try the same idea, but replacing the linear >> relationship by a neuronal network which has learn from >> many parameters: Sea Level Anomaly, but also geographic >> area, time of the year, wind speed, etc. >> >> 3) Above approach 2 is better than 1 but still not yet quite >> satisfying. If give just one number (the temperature in our >> example) while we would like to have some estimation of its >> uncertanties. A value inferred in such indirect way from other >> parameters is less "certain" than a direct measurement of Sea >> Surface Temperature. Bayesian network may be a solution (but >> I'm probably out of scope of a master thesis here). >> >> I used "Sea Surface Temperature" vs "Sea Level Anomaly" above as >> a real-world example (with real applications on our side), but >> such a project would actually be against any arbitrary set of >> geophysics parameters. >> >> >> >> >> Proposal Number #2 >> ------------------------------------------------------------------- >> >> Same goals than above, but working on a single image without any attempt to >> leverage the correlation between geophysics parameters: >> >> http://sprott.physics.wisc.edu/pubs/paper276.htm >> >> >> Is it the kind of suggestions you were looking for? >> >> Martin > > > > ------------------------------------------------------------------------- > This SF.Net email is sponsored by the Moblin Your Move Developer's challenge > Build the coolest Linux based applications with Moblin SDK & win great prizes > Grand prize is a trip for two to an Open Source event anywhere in the world > http://moblin-contest.org/redirect.php?banner_id=100&url=/ > _______________________________________________ > Geotools-devel mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/geotools-devel -- Chris Holmes OpenGeo - http://opengeo.org Expert service straight from the developers. ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Geotools-devel mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/geotools-devel
