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Table 4 The top five logistic regression candidate models for the 10 by 10 km area

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

Model

BIC

ΔBIC

w

TWI + DS + Soil + Precip.

6482.6

0

0.9822

TWI + LULC + DS + Soil + Precip.

6491.8

9.3

0.0096

TWI + DS + Precip.

6492.2

9.6

0.0082

TWI + LULC + DS + Precip.

6502.0

19.4

< 0.001

TWI + DS + Soil

6658.0

175.4

< 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.
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International Journal of Health Geographics

ISSN: 1476-072X