Table 1 Logistic regression model and parameters.
| |||
|---|---|---|---|
i |  | θi | θi(standardized) |
0 | Intercept | 4.16 | 1.80 |
1 | Sand | 2.38 e−02 | 6.08 e-01 |
2 | Clay | −1.88 e−01 | 1.10 |
3 | Density | −5.99 | −9.09 e−02 |
4 | Clay/density | 1.83 e−01 | 4.79 e−01 |
5 | MSI | −7.05 | −1.09 |
6 | MAR | 2.90 e−03 | 2.29 |
- Model fitting was done on 50,000 samples (1 km spatial resolution). All parameters have P values < 1e−04. Forest is predicted where the log odds of forest occurrence
(see Methods for details). The κ-agreement index with data is 0.69 (substantial agreement). See Supplementary Fig. 2 and Supplementary Table 1 for alternative prediction models.
(see Methods for details). The κ-agreement index with data is 0.69 (substantial agreement). See 