Divisão de Observação da Terra e Geoinformática

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

Topics to address:

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

What we want: 

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


=== 2. One Publication ===

//Title//: Survey of web service specifications for spatio-temporal data
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//Abstract//: Spatio-temporal data is used to represent dynamic spatial phenomena. 
Some examples are physical processes like temperature and volcano eruption, moving objects 
like animal tracking and iceberg movement as well as evolving objects like oil spill evolution 
on the ocean. This spatio-temporal data is generated by different technologies, such as fixed 
and mobile geosensors, GPS and Earth observation satellites or radio-frequency identification 
(RFID) and can be distributed in different data sources. In order to analyse this kind of data
 specific operations are necessary, for instance, extraction of trajectories, calculation of 
the variation of distance between two moving objects over time and extraction of time series of 
a specific location or area.
\\
In this context, service oriented architecture is a good option to create interoperable 
frameworks in order to handle distributed spatio-temporal data sources. Therefore, this work 
aims to evaluate if and how existing web service specifications, such as Sensor Observation 
Service (SOS), Web Feature Service (WFS), Web Coverage Service (WCS), Web Processing Service (WPS), 
Open Location Service (OpenLS) and Sensor Planning Service (SPS),  deal with spatio-temporal 
information. The main goal is to assess them by considering the following aspects: 
supported spatio-temporal data and operations, usability and compliance of existing 
implementations.


=== 3. Identifying suitable tools for development and evaluation ===

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