TY  - CONF
AU  - Dragović, Snežana
AU  - Momčilović, Milan
AU  - Onjia, Antonije
PY  - 2008
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7185
AB  - Some of the most commonly occuring problems in radioecological and environmental
radioactivitiy studies when applying traditional statistical models are multivariate and
multiscale structures of data. Spatial data analysis of radioactively contaminated areas are
particularly complex for many reasons: uncertainty of the source term, high spatial and
temporal variability of pollution patterns, spatial and temporal nonstationarity and
multivariate nature of the phenomenon with linearly and nonlinearly correlated variables.
There are only few studies on employing the multivariate approach to describe the correlation
between locations and radioactive contamination (Kanevski, 1996; Kanevski, 1997).
In this work the feasibility of using multivariate analysis techniques, principal component
analysis (PCA), linear discriminant analysis (LDA), k-nearest neighbours (kNN), soft
independent modelling of class analogy (SIMCA) and artificial neural networks (ANN), to
predict soils and bioindicators origin based on their radionuclide content was examined.
PB  - Østerås : Norwegian Radiation Protection Authority
C3  - Proceedings, oral and oral poster presentations / The International Conference on Radioecology & Environmental Radioactivity, 15-20 June, 2008, Bergen, Norway
T1  - Use of multivariate analysis in radioecological and environmental radoactivity studies - advantages and limitations
EP  - 110
SP  - 107
UR  - https://hdl.handle.net/21.15107/rcub_technorep_7185
ER  - 

@conference{
author = "Dragović, Snežana and Momčilović, Milan and Onjia, Antonije",
year = "2008",
abstract = "Some of the most commonly occuring problems in radioecological and environmental
radioactivitiy studies when applying traditional statistical models are multivariate and
multiscale structures of data. Spatial data analysis of radioactively contaminated areas are
particularly complex for many reasons: uncertainty of the source term, high spatial and
temporal variability of pollution patterns, spatial and temporal nonstationarity and
multivariate nature of the phenomenon with linearly and nonlinearly correlated variables.
There are only few studies on employing the multivariate approach to describe the correlation
between locations and radioactive contamination (Kanevski, 1996; Kanevski, 1997).
In this work the feasibility of using multivariate analysis techniques, principal component
analysis (PCA), linear discriminant analysis (LDA), k-nearest neighbours (kNN), soft
independent modelling of class analogy (SIMCA) and artificial neural networks (ANN), to
predict soils and bioindicators origin based on their radionuclide content was examined.",
publisher = "Østerås : Norwegian Radiation Protection Authority",
journal = "Proceedings, oral and oral poster presentations / The International Conference on Radioecology & Environmental Radioactivity, 15-20 June, 2008, Bergen, Norway",
title = "Use of multivariate analysis in radioecological and environmental radoactivity studies - advantages and limitations",
pages = "110-107",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7185"
}

Dragović, S., Momčilović, M.,& Onjia, A.. (2008). Use of multivariate analysis in radioecological and environmental radoactivity studies - advantages and limitations. in Proceedings, oral and oral poster presentations / The International Conference on Radioecology & Environmental Radioactivity, 15-20 June, 2008, Bergen, Norway
Østerås : Norwegian Radiation Protection Authority., 107-110.
https://hdl.handle.net/21.15107/rcub_technorep_7185

Dragović S, Momčilović M, Onjia A. Use of multivariate analysis in radioecological and environmental radoactivity studies - advantages and limitations. in Proceedings, oral and oral poster presentations / The International Conference on Radioecology & Environmental Radioactivity, 15-20 June, 2008, Bergen, Norway. 2008;:107-110.
https://hdl.handle.net/21.15107/rcub_technorep_7185 .

Dragović, Snežana, Momčilović, Milan, Onjia, Antonije, "Use of multivariate analysis in radioecological and environmental radoactivity studies - advantages and limitations" in Proceedings, oral and oral poster presentations / The International Conference on Radioecology & Environmental Radioactivity, 15-20 June, 2008, Bergen, Norway (2008):107-110,
https://hdl.handle.net/21.15107/rcub_technorep_7185 .