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Table 1.

Comparison of methods and scale used in studies that evaluate conservation impact.

(T: # treatment units; C: # control units).

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Fig 1.

Continuous versus discrete data aggregation.

Treatment (blue) units at the protected area observed at different scales (full resolution at 182 ha x 417 ha). Binary aggregation is illustrated on the left panels and continuous aggregation on the right. (A)-(B) No aggregation. (C)-(D) 2x2 Aggregation. (E)-(F) 4x4 Aggregation. (G)-(H) 10x10 Aggregation.

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Fig 1 Expand

Table 2.

Variation in treatment effects estimated with different methods and scales.

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Table 2 Expand

Table 3.

Percent difference in coefficient estimates between discrete and continuous and over aggregation.

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Table 3 Expand

Fig 2.

Monte Carlo Simulation Flow Chart.

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Fig 3.

Aggregation and Disaggregation Procedure.

Example of a spatial process with true level = 4x4 resolution.

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Fig 4.

Three possible treatment scenarios.

Treatment cells are identified with a red border, while the value of the independent variable X is represented by the cell color gradient (higher values for darker cells).

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Fig 5.

Sample chart and conversion table for the horizontal axis.

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Fig 6.

OLS results (X random, T contiguous, ρ = 0).

(A) True level = 1x1 resolution (pixel level). (B) True level = 6x6 resolution.

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Fig 7.

OLS Results (T contiguous, ρ = 0).

(A) X = W2K and true level = 6x6 resolution. (B) X = (1 –πW)K and true level = 6x6 resolution.

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Fig 7 Expand

Fig 8.

OLS Results (X random, T random, ρ = 0).

(A) True level = 1x1 resolution (pixel level) and discrete aggregation of treatment. (B) True level = 6x6 resolution and discrete aggregation of treatment. (C) True level = 6x6 resolution and continuous aggregation of treatment.

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Fig 8 Expand

Fig 9.

OLS Results (X correlated, T dependent on X, ρ = 0).

(A) True level = 1x1 resolution (pixel level). (B) True level = 6x6 resolution.

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Fig 10.

OLS versus STSLS results (true level = 6x6 resolution).

(A) OLS result (X correlated, T = f(X), ρ = 0.9). (B) STSLS result (X correlated, T = f(X), ρ = 0.9). (C) OLS result (X correlated, T = f(X), ρ = 0).

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Fig 11.

Difference-in-Difference results (X and T random and true level = 6x6 resolution).

(A) ρ = 0. (B) ρ = 0.5. (C) ρ = 0.9.

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Fig 12.

Comparison of different estimation methods (X correlated, T dependent on X, ρ = 0.9).

OLS (circles), STSLS (squares), DID (triangles). True level = 6x6 resolution, with 1,000 simulations.

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Fig 12 Expand