Additional file 9: of Perspectives on modelling the distribution of ticks for large areas: so far so good?
AgustĂn Estrada-PeĂąa
Neil Alexander
G.R. Wint
10.6084/m9.figshare.c.3614255_D12.v1
https://springernature.figshare.com/articles/journal_contribution/Additional_file_9_of_Perspectives_on_modelling_the_distribution_of_ticks_for_large_areas_so_far_so_good_/4372985
Principal Components Analysis decomposition of the influence of the coefficients of a Fourier regression, used to obtain the climate suitability for the tick Hyalomma marginatum. The plot shows how the different variables used in the logistic regression shape the potential occurrence of the tick. In A, the predicted occurrence of the tick is plotted against the first two principal components. In B, the length and the direction of the arrows indicate how the environmental variables drive the predicted tick occurrence. (PDF 735Â kb)
2016-03-31 05:00:00
Correlative distribution modelling
Ticks
Remote sensing
MODIS Fourier transformation