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To compare the effect of the quantity of total scale bars, we decreased the number of scale bars by increments of one and recorded the sample distance values.
Instead of arranging the scale bars in the six scenarios, one scale bar was referenced in the middle of each wall of the building (in other words, four total scale bars) and the sample distance values were obtained on the model.
Contrary to that, in the 'fixate' condition, the eccentricity of the most peripheral dot differed from the sample distance.
Negative error values represent an underestimation of the distance, while positive values signify an overestimation of the sample distance.
Figure 2C displays the standard deviation for the 'saccade' and 'fixate' trials as a function of the sample distance.
In the following analyses we calculated estimation error that distinguishes over- and underestimations of the sample distance (bias in Figure 2B).
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The sample distances were selected in this way because there were no prominent natural features on the retaining wall that could be manually referenced and used to create sample distances.
The sample distances for each object were collected by a total station or a tape measure and were compared to the distance values given by the iWitness models produced by the six scale bar scenarios.
In our case, the sampling distance was less than 4 km, which was quite adequate.
The samples constitute the nodes of a graph connected with edges having weights that depend on the samples' distance.
where p ii is the state transition probability between two equal states, and Δd denotes the sampling distance (frame length).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com