Lestander, Torbjörn
- Institutionen för skogsskötsel, Sveriges lantbruksuniversitet
Sammanfattning
In data analysis, many situations arise where plotting and visualization are helpful or an absolute requirement for understanding. There are many techniques of plotting data/parameters/residuals. These have to be understood and visualization has to be made clearly and interpreted correctly. In this paper the classical favourites in chemometrics, scatter plots, are looked into more deeply and some criticism based on recent literature references is formulated for situations of principal component analysis, PARAFAC three-way analysis and regression by partial least squares. Biplots are also afforded some attention. Examples from near-infrared spectroscopy are given as illustrations. Copyright (C) 2003 John Wiley Sons, Ltd.
Nyckelord
plotting; visualization; multivariate data analysis; line plots; interpretation of scatter plots; biplots; near-infrared spectroscopy; principal component analysis; PARAFAC; partial least squares regression
Publicerad i
Journal of Chemometrics
2003, volym: 17, nummer: 45878, sidor: 503-511
Utgivare: JOHN WILEY & SONS LTD
SLU författare
Geladi, Paul
- Institutionen för skogens biomaterial och teknologi, Sveriges lantbruksuniversitet
- Institutionen för skogens biomaterial och teknologi, Sveriges lantbruksuniversitet
Publikationens identifierare
- DOI: https://doi.org/10.1002/cem.814
Permanent länk till denna sida (URI)
https://res.slu.se/id/publ/1095