@inproceedings{ef2ca2fbfaf14ac48bc8976da6703867,
title = "Mapping of soil contamination by using artificial neural networks and multivariate geostatistics",
abstract = "The work deals with the development and use of mixed models (artificial neural networks-ANN and modern geostatistical models) for the analysis of spatially distributed environmental data. When multivariate data have complex non-linear trends or high variability at different scales in the region of study it is proposed to use ANN to model non-linear large scale structures (trends) and then to apply multivariate geostatistics (co-kriging models) to the residuals. The proposed model is used for the spatial prediction of soil contamination by Chernobyl radionuclides.",
author = "M. Kanevski and V. Demyanov and M. Maignan",
year = "1997",
doi = "10.1007/BFb0020304",
language = "English",
isbn = "9783540636311",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "1125--1130",
booktitle = "Artificial Neural Networks - ICANN 1997",
note = "7th International Conference on Artificial Neural Networks 1997, ICANN 1997 ; Conference date: 08-10-1997 Through 10-10-1997",
}