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Pregled bibliografske jedinice broj: 704538

Assessing natural and anthropogenic impact on soil chemistry using principal component analysis for compositional data


Ivanišević, Danijel; Halamić, Josip; Peh, Zoran
Assessing natural and anthropogenic impact on soil chemistry using principal component analysis for compositional data // Geomathematics - from theory to practice / Cvetković, Marko ; Novak Zelenika, Kristina ; Geiger, János (ur.).
Zagreb: Hrvatsko geološko društvo, 2014. str. 45-52 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 704538 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Assessing natural and anthropogenic impact on soil chemistry using principal component analysis for compositional data

Autori
Ivanišević, Danijel ; Halamić, Josip ; Peh, Zoran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Geomathematics - from theory to practice / Cvetković, Marko ; Novak Zelenika, Kristina ; Geiger, János - Zagreb : Hrvatsko geološko društvo, 2014, 45-52

ISBN
978-953-95130-8-3

Skup
6th Croatian-Hungarian and 17th Hungarian Geomathematical congress

Mjesto i datum
Opatija, Hrvatska, 21.05.2014. - 23.05.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
compositional data ; principal component analysis ; soil ; geochemistry ; fertilizer plant Petrokemija

Sažetak
For the purpose of this study, two surface soil samples (0-5 and 5-10 cm) were collected on each of the 36 regular grid locations around the fertiliser plant in Kutina, Croatia. Samples were analysed on chemical composition and statistically processed using principal component analysis. Concentrations of chemical elements are a typical example of compositional data. Such data form simplex space which has different properties than Euclidean space. Accordingly, data have to be properly transformed so that standard statistical methods can be safely applied. In this paper, efficiency of log and isometric log- ratio transformation in principal component analysis was tested. It was shown how compositional data methodology can improve the results of analysis and provide new possibilities in interpretation and determination of the associations of chemical elements and observations.

Izvorni jezik
Engleski

Znanstvena područja
Geologija



POVEZANOST RADA


Projekti:
MZOS-181-1811096-1181 - Osnovna geokemijska karta Republike Hrvatske (Halamić, Josip, MZOS ) ( CroRIS)

Ustanove:
Hrvatski geološki institut

Profili:

Avatar Url Danijel Ivanišević (autor)

Avatar Url Josip Halamić (autor)

Avatar Url Zoran Peh (autor)


Citiraj ovu publikaciju:

Ivanišević, Danijel; Halamić, Josip; Peh, Zoran
Assessing natural and anthropogenic impact on soil chemistry using principal component analysis for compositional data // Geomathematics - from theory to practice / Cvetković, Marko ; Novak Zelenika, Kristina ; Geiger, János (ur.).
Zagreb: Hrvatsko geološko društvo, 2014. str. 45-52 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Ivanišević, D., Halamić, J. & Peh, Z. (2014) Assessing natural and anthropogenic impact on soil chemistry using principal component analysis for compositional data. U: Cvetković, M., Novak Zelenika, K. & Geiger, J. (ur.)Geomathematics - from theory to practice.
@article{article, author = {Ivani\v{s}evi\'{c}, Danijel and Halami\'{c}, Josip and Peh, Zoran}, year = {2014}, pages = {45-52}, keywords = {compositional data, principal component analysis, soil, geochemistry, fertilizer plant Petrokemija}, isbn = {978-953-95130-8-3}, title = {Assessing natural and anthropogenic impact on soil chemistry using principal component analysis for compositional data}, keyword = {compositional data, principal component analysis, soil, geochemistry, fertilizer plant Petrokemija}, publisher = {Hrvatsko geolo\v{s}ko dru\v{s}tvo}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Ivani\v{s}evi\'{c}, Danijel and Halami\'{c}, Josip and Peh, Zoran}, year = {2014}, pages = {45-52}, keywords = {compositional data, principal component analysis, soil, geochemistry, fertilizer plant Petrokemija}, isbn = {978-953-95130-8-3}, title = {Assessing natural and anthropogenic impact on soil chemistry using principal component analysis for compositional data}, keyword = {compositional data, principal component analysis, soil, geochemistry, fertilizer plant Petrokemija}, publisher = {Hrvatsko geolo\v{s}ko dru\v{s}tvo}, publisherplace = {Opatija, Hrvatska} }




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