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Table 2 Top four logistic regression candidate models for the 15 monthly ground surveys in Aduoyo-Miyare and Nguka

From: Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures

Model

BIC

ΔBIC

w

TWI + LULC + DS + Soil + Precip.

45933.1

NA

0.9999

TWI + DS + Soil + Precip.

45955.6

22.5

<0.001

TWI + LULC + DS + Precip.

46045.5

112.3

<0.001

TWI + DS + Precip.

46073.7

140.5

<0.001

  1. Based on Bayesian information criterion (BIC), in order of increasing difference in BIC from the top model (ΔBIC) and decreasing BIC weight, w. TWI, topographic wetness index; LULC, land use-land cover; DS, distance to the nearest stream; Precip., cumulative 30-day precipitation total; NA, not applicable.