Table · dataset · 2026
<p>Composition of the five cross-validation folds and spatial autocorrelation characterisation. <i>Spartina</i> % refers to the proportion of positive pixels in the subset. Mean card. train nbrs: mean number of cardinal neighbours (N, S, E, W) of a validation patch belonging to the training subset (max. 4; expected 2.8 under random assignment). Fully surr. (%): percentage of validation patches entirely surrounded by training patches in all eight directions (expected 26% under random assignment; observed mean 34.4% indicates moderate spatial autocorrelation).</p>
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<p>Composition of the five cross-validation folds and spatial autocorrelation characterisation. <i>Spartina</i> % refers to the proportion of positive pixels in the subset.
Description
Mean card. train nbrs: mean number of cardinal neighbours (N, S, E, W) of a validation patch belonging to the training subset (max. 4; expected 2.8 under random assignment). Fully surr.
(%): percentage of validation patches entirely surrounded by training patches in all eight directions (expected 26% under random assignment; observed mean 34.4% indicates moderate spatial autocorrelation).</p>
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- DOI doi.org/10.1371/journal.pone.0358464.t002 ↗
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