Does wind affect the orientation of vegetation stripes? A copula-based mixture model for axial and circular data
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Publisher
Wiley
Abstract
Motivated by a case study of vegetation patterns, we introduce a mixture model with concomitant variables to examine the association between the orientation of vegetation stripes and wind direction. The proposal relies on a novel copula-based bivariate distribution for mixed axial and circular observations and provides a parsimonious and computationally tractable approach to examine the dependence of two environmental variables observed in a complex manifold. The findings suggest that dominant winds shape the orientation of vegetation stripes through a mechanism of neighboring plants providing wind shelter to downwind individuals.
Description
DATA AVAILABILITY STATEMENT : The data that support the findings of this study are openly available in AxialMixtureRegression at https://github.com/minmar94/AxialMixtureRegression/tree/main/Data.
SUPPLEMENTARY MATERIAL : Axial mixture regression mingione. All data and codes that have been used to obtain the results presented in this work are available at https://github.com/minmar94/AxialMixtureRegression/.
Keywords
Axial data, Circular data, Copula, Mixture model, Vegetation
Sustainable Development Goals
SDG-13: Climate action
SDG-15: Life on land
SDG-15: Life on land
Citation
Mingione, M., Lagona, F., Nagar, P. et al. 2025, 'Does wind affect the orientation of vegetation stripes? A copula-based mixture model for axial and circular data', Environmetrics, vol. 36, no. 5, art. e70021, pp. 1-16, doi : 10.1002/env.70021.