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Spatio-Temporal Data Types, Operators and Tools

Participants: Edzer, Jan, Lubia and Karine

1. Cluster project proposal (input in cluster proposal template )

Title: Analyzing spatio-temporal phenomena from data: necessary representations and operations.

Different phenomena:

  1. continuous physical phenomena (temperature, precipitation)
  2. continuous vectors with a magnitude and direction (wind)
  3. evolving objects (clouds)
  4. moving objects: trajectories (animals), and their aggregates (flows; through a network? through free space?)
  5. space-time point patterns (volcanic eruptions, scientific conferences), possibly marked

Topics to address:

  1. (Karine: implementing/designing an algebra for a spatio-temporal database)
  2. implementing a full algebra for spatio-temporal data analysis
  3. web services to access spatio-temporal databases and web services for spatio-temporal data processing
  4. dealing with uncertainty
  5. usability of visualisation tools for uncertain spatio-temporal data
  6. go beyond the time snapshot = animation analogy –> Q: What that means?, ST = time added to space.

What we want:

  1. find/characterize/identify spatio-temporal patterns (change)
  2. spatio-temporal patterns in streams/flows, understand spatio-temporal interactions

2. One publication (extended abstract at Ilhabela)

Publication 01) Survey of web services suitable for dealing with spatio-temporal data (access and processing)

  1. What means spatial-temporal data? : kinds of dynamic phenomena, the data that arrives from them, they are distribuited in different data sources (describe different data sources), examples for phenomena (animal and iceberg tracking) and for data types (fields,objects) , what kind of operations we need to deal with the data (trajectories, intersection, distance between trajectories, overlay).
  2. Search for existing ws specifications of different organizations such as OGC, ISO and others (?) that deal with this spatial-temporal data (SOS is for fixed sensors, WPS, WCS, OpenLS, Sensor Planning Service).
  3. Evaluate the existing web services by considering: which spatial-temporal data each of them deal with, how usable they are, how compliant are existing implementations, can they used for mobile sensors, for what purpose they are (accessing, processing).

3. Identifying suitable tools for development and evaluation

  • TerraLib (database, elementary topological operations)
  • TerraHS/Haskell (prototype implementation)
  • PostGIS
  • Secondo (database for moving objects), Aguila (visualisation)
  • TerraME, PCRaster (environmental modelling)
  • TerraView (wants to do animation)
  • R, aRT
  • OGC web services – 52N suite, …

4. topics for jointly supervised Masters- and PhD theses

  1. web service (access and processing) specifications (Master thesis)
  2. usability of visualisation of spatio-temporal data (Q: bachelor or master?)

5. One mobility measure proposal

- Q:Is goodness of fit a possible mobility measure proposal?

6. Presentation of preliminary results (15+15 min. each) on Tue, Mar 17, 13.30-15.30

7. Presentation of final results (15+15 min. each) on Thu, Mar 19, 14.00-16.00


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