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Figure 1 - Thiessen polygons as a model for animal territory estimation

Figure 1: Regression of mapped territories against Thiessen polygons with respect to territory size (a, c) and the number of neighbours (b, d). Panels (a) and (b) show model estimates and confidence intervals (black), regressions for individual studies (grey) and the data frequency (parallel to the axes). The dotted line indicates a perfect fit. Axes in (a) are given as the percentage of the largest (log-transformed) value per study. Note that in contrast to the statistical model, the data shown here are non-centralized. Panels (c) and (d) show the slope of the respective regression depending on the distance of the focal point used for the construction of Thiessen polygons to the centroid of the mapped territory. Grey circles are individual estimates from the randomizations, and the black line is a smooth curve through the randomized points.
Regression of mapped territories against Thiessen polygons with respect to territory size (a, c) and the number of neighbours (b, d). Panels (a) and (b) show model estimates and confidence intervals (black), regressions for individual studies (grey) and the data frequency (parallel to the axes). The dotted line indicates a perfect fit. Axes in (a) are given as the percentage of the largest (log-transformed) value per study. Note that in contrast to the statistical model, the data shown here are non-centralized. Panels (c) and (d) show the slope of the respective regression depending on the distance of the focal point used for the construction of Thiessen polygons to the centroid of the mapped territory. Grey circles are individual estimates from the randomizations, and the black line is a smooth curve through the randomized points.
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