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The map shows the distribution of plots with regard to the locations of global biodiversity hotspots (Mittermeier et al. 2004).
These examples test i) the geographical distribution of plots as a means to face climatic risks, ii) the effect of fallowing practice in a spatially constrained cotton dominated landscape and iii) the consequences of reduced access to credit for farmers to buy fertilizers.
Plot locations were selected through a stratified sampling approach aimed at ensuring a uniform distribution of plots from short (< 5 m), medium (5 25 m) and tall forests (> 25 m), and primarily comprised of conifers, deciduous trees, non-forest, mixed forest, wetlands and an herb and shrub class taken from the Calveg database [15].
The scatterplot for this subgroup of patients (N = 36) revealed an equal distribution of plots with similarly low correlation coefficients.
Similar to FIA's sample design, this process assures a relatively uniform spatial distribution of plots but allows locally random positioning of measurements.
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The distribution of these plots is shown in Figure 1. Figure 1 Distribution of plot locations used for the modelling.
VS validation set, TS training set Fig. 5 Cumulative distribution of plot-level AGB field estimates and plot-level AGB predictions estimated with models based on different training subsets in study site Gorkha.
We first constructed two-way cross-tabulated contingency tables showing the frequency distributions of plots in the classifications, and input those tables into correspondence analysis.
In each case, we determined the relative similarities among classes in the pairwise comparison, both in terms of the frequency distributions of plots in the classes and in terms of the average species composition of classes.
Figure 1 Geographical distribution of field plots and plot clusters in the Beijing forest ecosystems network.
The distribution of these plots is shown in Figure 1. Figure 1 Distribution of LUCAS sample plots used throughout New Zealand.
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