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. 2016 Mar 18;2(3):e1500965. doi: 10.1126/sciadv.1500965

Table 1. Coefficients of the pixel-based forest loss model.

Maximum likelihood estimates of the coefficients of the predictor variables obtained in a logistic regression model to assess the probability of forest loss during the 2000–2010 period. See Materials and Methods for details on the logistic regression models developed in the study.

Parameter Estimate SE Wald χ2 P > χ2
Intercept −11.1959 3.0388 13.5744 0.0002
Easting 2.997 × 10−7 2.66 × 10−7 1.2701 0.2598
Northing 3.768 × 10−7 5.27 × 10−7 0.5113 0.4746
Initial tree cover 0.0534 0.00614 75.4652 <0.0001
Distance to main roads −0.00233 0.00275 0.7168 0.3972
Population density in 2000 0.000012 7.466 × 10−6 2.7208 0.0991
CTI 0.0591 0.0597 0.9814 0.3219
Elevation −0.00019 0.000086 4.9686 0.0258
Slope 0.000960 0.0205 0.0022 0.9627
Aspect −0.00111 0.0179 0.0038 0.9506
Precipitation 0.0275 0.00846 10.5727 0.0011
Temperature −0.0876 0.0682 1.6494 0.1990