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Spatial validation reveals poor predictive performance of large-scale ecological mapping models

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Academic year: 2021

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Figure

Fig. 2 Spatial autocorrelation within model input variables and residuals. Semivariograms showing spatial autocorrelation of reference pixels AGB (a), AGB predictors (b), and AGB model residuals (c)
Fig. 3 Assessment of predictive performance in a spatially structured environment. a Clustering of fi eld data into 44 spatial folds (bright colors) used in spatial K -fold CV, superimposed over the spatial distribution of moist forests 61 (light gray) and
Fig. 4 K -fold CV of AGB predictions based on MODIS and environmental variables (RF RSE )
Fig. 5 In fl uence of data spatial structure on the model ’ s CV statistics. a Change in the coef fi cient of determination (mean R 2 ± SD over n = 10 iterations, see
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