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For a fuller explanation of the graph's terminology, click here.
For a full explanation of the graph set approach see Bernstein [28].
The explanations in the graph indicate that the "the notches surrounding the medians provide a measure of the rough significance of differences between the values.
The explanations of all graphs are summarized in Table 1. Figure 5 Sample scenarios for combination of unwanted and intentional camera motions: (a) high acceleration with high noise, (b) high acceleration with no noise, (c) high noise with no acceleration, (d) low acceleration with low noise, (e) constant velocity without noise and acceleration, (f) constant velocity with noise.
This can also be an explanation for the scale-free property of the graph, since preferential attachment is known to be a generating mechanism for this kind of networks [36 38], in which nodes prefer to link to vertices with high degree.
We had assumed a population with constant death rate in the absence of pollution, in order to simplify the explanations and the graphs.
You can see a copy of the graph here.
Not to mention, this slightly confusing context for the graph was totally absent from the original publication of the graph.
This is the origin of the graph.
Adjust the shape of the graph.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com