hrcak mascot   Srce   HID

Izvorni znanstveni članak

VISUALIZATION OF WINTER WHEAT QUANTITATIVE TRAITS WITH PARALLEL COORDINATE PLOTS

Andrijana Eđed ; Faculty of Agriculture in Osijek, J.J. Strossmayer University of Osijek, Osijek, Croatia
Zdenko Lončarić ; Faculty of Agriculture in Osijek, J.J. Strossmayer University of Osijek, Osijek, Croatia
Dražen Horvat ; Faculty of Agriculture in Osijek, J.J. Strossmayer University of Osijek, Osijek, Croatia
Karolj Skala ; Ruđer Bošković Institute, Centre for Informatics and Computing, Zagreb, Croatia

Puni tekst: engleski, pdf (203 KB) str. 14-19 preuzimanja: 397* citiraj
APA 6th Edition
Eđed, A., Lončarić, Z., Horvat, D. i Skala, K. (2010). VISUALIZATION OF WINTER WHEAT QUANTITATIVE TRAITS WITH PARALLEL COORDINATE PLOTS. Poljoprivreda, 16 (2), 14-19. Preuzeto s https://hrcak.srce.hr/61972
MLA 8th Edition
Eđed, Andrijana, et al. "VISUALIZATION OF WINTER WHEAT QUANTITATIVE TRAITS WITH PARALLEL COORDINATE PLOTS." Poljoprivreda, vol. 16, br. 2, 2010, str. 14-19. https://hrcak.srce.hr/61972. Citirano 12.05.2021.
Chicago 17th Edition
Eđed, Andrijana, Zdenko Lončarić, Dražen Horvat i Karolj Skala. "VISUALIZATION OF WINTER WHEAT QUANTITATIVE TRAITS WITH PARALLEL COORDINATE PLOTS." Poljoprivreda 16, br. 2 (2010): 14-19. https://hrcak.srce.hr/61972
Harvard
Eđed, A., et al. (2010). 'VISUALIZATION OF WINTER WHEAT QUANTITATIVE TRAITS WITH PARALLEL COORDINATE PLOTS', Poljoprivreda, 16(2), str. 14-19. Preuzeto s: https://hrcak.srce.hr/61972 (Datum pristupa: 12.05.2021.)
Vancouver
Eđed A, Lončarić Z, Horvat D, Skala K. VISUALIZATION OF WINTER WHEAT QUANTITATIVE TRAITS WITH PARALLEL COORDINATE PLOTS. Poljoprivreda [Internet]. 2010 [pristupljeno 12.05.2021.];16(2):14-19. Dostupno na: https://hrcak.srce.hr/61972
IEEE
A. Eđed, Z. Lončarić, D. Horvat i K. Skala, "VISUALIZATION OF WINTER WHEAT QUANTITATIVE TRAITS WITH PARALLEL COORDINATE PLOTS", Poljoprivreda, vol.16, br. 2, str. 14-19, 2010. [Online]. Dostupno na: https://hrcak.srce.hr/61972. [Citirano: 12.05.2021.]

Sažetak
Visualization of multivariate multidimensional data sets is a challenging task, especially without use of adequate tools and methods. In the last few years, parallel coordinate plots became quite popular and accepted as a very efficient multivariate visualization technique. The aim of this paper was to explore how parallel coordinates can be used in analysis of winter wheat quantitative traits. Data set is obtained from experiment set up by a completely randomized design with two treatments and four replicates. Ten variables (plant height, spike length, stem length, plant weight, spike weight, grain weight per spike, 1000 kernel weight, number of fertile and sterile spikelets per spike and total number of spikelets per spike) and fifty-five winter wheat genotypes were analysed in this paper. In parallel coordinate plots observations are shown as series of unbroken lines, passing through parallel axes, where each axes represents a different variable. Advantage of parallel coordinates, compared to other visualization techniques, is that they can represent multivariate data in two dimensions. From such representation, outliers and grouping among observations are easily detectable. Correlation among variables can also be easily detected from suchrepresentation. Although parallel coordinates cannot efficiently explore details, they are a good technique for visualization of multivariate data sets and they can be used for exploratory analysis of wheat quantitative traits.

Ključne riječi
parallel coordinate plots; winter wheat; quantitative traits; visualization

Hrčak ID: 61972

URI
https://hrcak.srce.hr/61972

[hrvatski]

Posjeta: 776 *