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Table 7 Predicting water presence compared to random locations using GLM

From: Identifying malaria vector breeding habitats with remote sensing data and terrain-based landscape indices in Zambia

Model

Data Source

Variable

Odds Ratio

P > |z|

95% CI Lower

95% CI Upper

SRTM-LandSat

SRTM

slope

0.40

<0.001

0.27

0.61

 

SRTM

TWI

1.29

0.02

1.04

1.59

 

SRTM

aspect

1.003

0.012

1.00

1.005

 

SRTM

TPI500

0.65

<0.001

0.55

0.75

LandSat -ASTER

ASTER

TPI2000

0.96

0.005

0.94

0.99

 

LandSat

3:1

0.005

0.006

0.0001

0.22

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International Journal of Health Geographics

ISSN: 1476-072X