Spatio-Temporal Big Data: the rasdaman approach

Download here the workshop PDF tutorial​, and the log of shell exercises​.
Datasets and VM envinronment (Linux) can also be downloaded ​here.

Outline

1. Concepts
   1. rasdaman Array DBMS and its RasQL query language
   2. the GMLCOV model
   3. Web Coverage Service and its Processing extension
2. Hands-on
   1. deploy required components for web access of data
   2. ingesting & querying your own dataset:
      • 2D rectified image
      • 3D regular time series of images
      • 3D irregular time series of images

Participants are going to learn:

• WCS/WCPS standards
• setting up and querying spatio-temporal gridded coverages within those
• rasdaman and its components for input/output

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The workshop has been presented so far at:

• ​Open-source Geospatial Research & Education Symposium 2014 (OGRS'14), Otaniemi, Espoo, FI, 2014-jun-12
• ​OSGeo European Conference on Free & Open-Source Software for Geospatial (FOSS4G-Europe), Jacobs University Bremen, DE, 2014-jul-14

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(image credit: P. Campalani et al: Making Time Just Another Axis in Geospatial Services. Proc. 20th Intl. Symp. on Temporal Representation and Reasoning (TIME'13)]]