Abstract
The automatic interpolation of environmental monitoring network data such as air quality or radiation levels in real-time setting poses a number of practical and theoretical questions. Among the problems found are (i) dealing and communicating uncertainty of predictions, (ii) automatic (hyper)parameter estimation, (iii) monitoring network heterogeneity, (iv) dealing with outlying extremes, and (v) quality control. In this paper we discuss these issues, in light of the spatial interpolation comparison exercise held in 2004.
Original language | English |
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Title of host publication | geoENV VI – Geostatistics for Environmental Applications Proceedings of the Sixth European Conference on Geostatistics for Environmental Applications |
Publisher | Springer |
Pages | 467-475 |
Number of pages | 9 |
Volume | 15 |
ISBN (Print) | 9781402064470 |
DOIs | |
Publication status | Published - 11 Mar 2008 |
Bibliographical note
GeoENV 2006 – 6th European Conference on Geostatistics for Environmental Applications, 25-27 October 2006, Rhodes (GR) The original publication is available at www.springerlink.comKeywords
- automatic interpolation
- environmental monitoring network data
- air quality
- radiation levels
- real-time setting
- uncertainty of predictions
- (hyper)parameter estimation
- network heterogeneity
- outlying extremes
- quality control
- spatial interpolation comparison exercise
- 2004