Interactive Biplot Construction

Udina, Frederic

doi:10.18637/jss.v013.i05

Cited by 20 publications

(18 citation statements)

References 11 publications

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“…A biplot analysis gives graphical representation of a multivariate sample and it superimpose on the display a representation of the variables on which the sample is measured [51].…”

Section: Discussionmentioning

confidence: 99%

Tree Species Diversity and Composition of Miombo Woodlands in South-Central Angola: A Chronosequence of Forest Recovery after Shifting Cultivation

Gonçalves

Revermann

Gomes

et al. 2017

International Journal of Forestry Research

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The study was carried out in the Cusseque area of the Municipality of Chitembo in south-central Angola. Our objectives were to assess the floristic diversity, the species composition, and stand structure of Miombo woodlands during regeneration after shifting cultivation. A total of 40 plots of 1000 m 2 were surveyed and analyzed, corresponding to mature forests/woodlands and three fallow types of different age. The analyses were based on plot inventories of all trees with DBH ≥ 5 cm. A total of 51 woody species, 38 genera, and 19 families were recorded. The dominant family was Fabaceae, with subfamily Caesalpinioideae being very abundant. Shannon Diversity and Evenness were highest in mature forests and young fallows, while the mature forest stands showed the highest species richness. A Principal Coordinates Analysis (PCoA) showed many species shared between the intermediate fallow types, but only few species were shared with young fallows. Mature forests formed a clearly distinct group. This study shows potential pathways of forest recovery in terms of faster regeneration after agricultural abandonment and, thus, the results presented here can be used in future conservation and management plans in order to reduce the pressure on mature forests.

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“…A biplot analysis gives graphical representation of a multivariate sample and it superimpose on the display a representation of the variables on which the sample is measured [51].…”

Section: Discussionmentioning

confidence: 99%

Tree Species Diversity and Composition of Miombo Woodlands in South-Central Angola: A Chronosequence of Forest Recovery after Shifting Cultivation

Gonçalves

Revermann

Gomes

et al. 2017

International Journal of Forestry Research

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“…We have developed a data visualization prototype in MATLAB® in order to evaluate the method's potential for data analysis. Regarding the implementation, our approach is one of many methods that display data as points, simply requiring controls to manipulate the axis vectors, select a particular norm, fix the weights for the variables, specify how estimation errors are visualized, etc., and could be included in most data visualization software packages (see [HCL05, Udi05, STH08, FGL13]).…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…In other words, V can not be any arbitrary matrix. Thus, interactive applications include controls for data analysis and graphical option manipulation [Hof04, Udi05, FGL13], but not for updating the orientation or lengths of the axis vectors.…”

Section: Related Work and Notationmentioning

confidence: 99%

Adaptable Radial Axes Plots for Improved Multivariate Data Visualization

Rubio-Sánchez

Sánchez

Lehmann

2017

Computer Graphics Forum

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Radial axes plots are multivariate visualization techniques that extend scatterplots in order to represent high‐dimensional data as points on an observable display. Well‐known methods include star coordinates or principal component biplots, which represent data attributes as vectors that define axes, and produce linear dimensionality reduction mappings. In this paper we propose a hybrid approach that bridges the gap between star coordinates and principal component biplots, which we denominate “adaptable radial axes plots”. It is based on solving convex optimization problems where users can: (a) update the axis vectors interactively, as in star coordinates, while producing mappings that enable to estimate attribute values optimally through labeled axes, similarly to principal component biplots; (b) use different norms in order to explore additional nonlinear mappings of the data; and (c) include weights and constraints in the optimization problems for sorting the data along one axis. The result is a flexible technique that complements, extends, and enhances current radial methods for data analysis.

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“…Here, observations are presented as points and labeled by numbers (which correspond to RILs), and variables are presented by full‐length lines. The two main axes in the biplot are determined by the orthogonal directions of maximum variance or variability (Udina, 2005).…”

Section: Methodsmentioning

confidence: 99%

Durum Wheat Root Distribution and Agronomical Performance as Influenced by Soil Properties

Outoukarte¹,

El-Abbassi²,

Price

et al. 2010

Crop Science

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To establish the relationship between the soil resistance, depth, and root density of durum wheat (Triticum turgidum L. var. durum) genotypes, the root distribution and penetration performance of 103 genotypes were characterized at three distinct Moroccan fields, namely Safi, Marrakech, and Settat. At each site, a cone penetrometer was used to characterize the penetration resistance profile, and the root distribution was assessed using the horizontal profile method. Marrakech and Safi soils showed a high degree of soil resistance, reaching up to 4 MPa at 170 mm and 220 mm, respectively. In contrast, in Settat soil, 4 MPa resistance was reached at 380 mm, and resistance showed the best linear relationship with depth. Root density decreased with increasing depth. At Settat, the root density of three cultivars was compared at 100, 200, 300, 400, and 500 mm. For the cultivar Haurani, 27% of the roots reached 400 mm, while only 16 and 9% did so for Cham1 and Karim, respectively. Root performance of 103 durum wheat genotypes was assessed at 400 mm depth. Root density varied between 380 and 2568 roots/m2 In addition, principal component analysis of some agrophysiological parameters for the 103 genotypes showed significant genotypic variation. The early maturing genotypes were dwarf and produced small spikes, and 47% of them exhibited less than 1200 roots/m2

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Interactive Biplot Construction

Cited by 20 publications

References 11 publications

Tree Species Diversity and Composition of Miombo Woodlands in South-Central Angola: A Chronosequence of Forest Recovery after Shifting Cultivation

Tree Species Diversity and Composition of Miombo Woodlands in South-Central Angola: A Chronosequence of Forest Recovery after Shifting Cultivation

Adaptable Radial Axes Plots for Improved Multivariate Data Visualization

Durum Wheat Root Distribution and Agronomical Performance as Influenced by Soil Properties

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