The 2004 edition of the Spatial Interpolation Comparison (SIC) exercise was
about automating spatial interpolation algorithms for environmental monitoring systems designed for routine and emergency. Real-time mapping of critical variables for the environment is still very rudimentary or implemented as black boxes and more advanced mapping methods exist that can provide maps that are more robust and have lower levels of uncertainty Participants were invited test their algorithms on data sets made available by the organizers before getting a new set of data for assessing and comparing the results between participants. The data sets used here were real measurements and simulated data of radiation levels measured in the environment. Estimation errors were then used to assess the relative
performances of the algorithms proposed. This paper presents the design of the exercise more in detail and gives an overview on the results obtained.
DUBOIS Gregoire;
GALMARINI Stefano;
2006-02-17
JRC-IES-H04
JRC31971
https://publications.jrc.ec.europa.eu/repository/handle/JRC31971,
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