Automatic Mapping Algorithms for Routine and Emergency Monitoring Data

The 2004 edition of the Spatial Interpolation Comparison (SIC) exercise dealt with automating spatial interpolation algorithms for environmental monitoring systems designed for routine and emergency Situations. Real-time mapping of critical variables for the environment is still a very rudimentary discipline, often implemented as black boxes, and more advanced mapping methods exist that can provide more robust maps with less uncertainty. In this exercise, participants were invited to test their algorithms on data sets made available by the organizers. This paper describes the design of the exercise in detail and gives an overview of the results obtained by the participants.

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