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Table 2 The top ten highest ranked variables, as determined by variable importance measures, for the three machine learning models included in the model ensemble. Variable name suffixes (-1), (-2), and (-3) denote time lags of 1, 2, and 3 years, respectively. One, two, and three asterisks denote the first, second, and third principal component, respectively, for variables available on a monthly time step (see the “Methods” section)

From: Modelling spatiotemporal trends in the frequency of genetic mutations conferring insecticide target-site resistance in African mosquito malaria vector species

Rank

XGB

RF

NN

1

Solar radiation***

Solar radiation***

Relative humidity*

2

ITN coverage (-1)

ITN coverage (-1)

Evergreen broadleaf forest (-3)

3

Elevation

Elevation

Wind speed*

4

Daytime temperature**(-2)

Tassel cap brightness**(-2)

Evergreen broadleaf forest (-1)

5

ITN coverage (-2)

ITN coverage (-2)

Elevation

6

Night time temperature* (-2)

Wind speed*

Cropping factor

7

Enhanced vegetation index**(-1)

Tassel cap brightness**(-3)

Cation exchange capacity

8

Rainfall*(-3)

Temperature diurnal difference*(-2)

Evergreen broadleaf forest (-2)

9

ITN coverage

ITN coverage

Tropical fruit

10

Night time temperature** (-2)

Tassel cap brightness**

Daytime temperature*(-1)

  1. * The first principal component was used, ** The second principal component was used, *** The third principal component was used