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Binned data are useful for estimating the presence of ladder fuels (vertical continuity of leaves and branches) and horizontal fuel continuity below the canopy.
Binned data showed the same correlation pattern.
Binned data were normalized to total aliphatic spectral area.
Binned data were fit with a Boltzmann function: Imax/(1+exp - T-T50])/k])) where Imax is the maximal normalized current, T is tension, T50 is the tension of half-maximal activation, and k is the slope factor.
Binned data were fit with a Boltzmann function I = Imax/(1+exp - T-T50/k)) where I is normalized current, Imax is the plateau, T is tension, T50 is the tension of half-maximal activation, and k is the slope factor.
Linear fits were made to the individual data points, not binned data.
Derived classes will return an NTuple appropriate to their binned data.
For binned data, the model values at the left side of the bin are used in the fitting.
That is, for comparison with the 4-point scale, we binned data from subjects using the 20-point scale into bins that contained the number of responses made from 1 5, 6 10, 11 15, and 16 20 on the scale.
We binned data into four latitude zones based on approximate location of large-scale geographic features along the coastline: South of Point Conception, Point Conception to Cape Mendocino, Cape Mendocino to Cape Blanco, and North of Cape Blanco (Fig. 1).
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The linear mixed model shown in Figure 2 uses speed-binned data (0.05 m/s speed bins) from the FR paw, with a minimum stride count criterion of 5 strides per bin.
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