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Table 2 Summary of univariate logistic regression on malaria vector breeding sites with topographic variables extracted from the two different DEMs

From: Topographic models for predicting malaria vector breeding habitats: potential tools for vector control managers

Variable

SRTM

ASTER

 

Coefficient

SE

AIC

Coefficient

SE

AIC

Elevation

−0.02935 ***

0.00188

4205.0

−0.02868 ***

0.00183

4203.2

Slope

−0.2981 ***

0.01916

4176.3

−0.2595 ***

0.01589

4136.7

CosAspect

−0.11885

0.06211

4602.7

−0.28979 ***

0.06321

4584.9

Plan Curvature

−1505.78 ***

134.907

4448.0

−186.474 ***

32.1202

4572.1

Profile Curvature

−443.0664 ***

88.5638

4580.2

−41.231 (*)

21.9418

4602.9

CI

−0.052419 ***

0.00338

4327.8

−0.01649 ***

0.00305

4576.8

TWI

0.56992 ***

0.02713

4099.5

0.28397 ***

0.01459

4214.6

TPI500

−2.60672 ***

0.1488

4164.3

−1.78714 ***

0.10935

4255.0

TPI2000

−1.1472 ***

0.0748

4227.3

−1.14861 ***

0.0752

4223.7

  1. ***, P < 0.001; (*), P < 0.1.
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Parasites & Vectors

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