Table 1 Bayesian regression model results.

From: Estimating economic losses to tourism in Africa from the illegal killing of elephants

 

Mean

s.d.

2.5%

97.5%

Number effective samples

R-hat

Intercept

6.38

4.18

−1.83

14.49

4479

1

Area

−0.83

0.36

−1.54

−0.11

21508

1

Elephant density

1.55

0.39

0.80

2.32

3633

1

Forest

−1.26

0.68

−2.59

0.05

3181

1

Elephant density × forest

−2.02

0.69

−3.39

−0.73

2098

1

Lion

1.00

0.58

−0.14

2.14

27139

1

Natural attractiveness

−0.18

0.34

−0.84

0.49

18595

1

Nearby human population

−0.34

0.21

−0.75

0.07

18652

1

Accessibility

−0.70

0.49

−1.65

0.25

3595

1

Country PPP

2.05

0.53

1.02

3.08

4588

1

  1. Bayesian regression model results for a model of the average number of annual tourist visits (log-transformed) across 164 protected areas in sub-Saharan Africa. The mean, s.d., 2.5% quantile and 97.5% quantile of posterior coefficient estimates are presented, as well as the number of effective samples and the R-hat measure of parameter convergence. PPP, Purchasing Power Parity.
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