Our results demonstrated that both random forest and linear unmixing models identified a distribution of rainforest and eucalypt stands that was comparable to existing ecological vegetation class (EVC) maps based primarily on manual interpretation of high resolution aerial imagery.
Multiple trials, each with a set of random starting positions and cycling order, identified a distribution of information-rich motifs (Fig. 5).
The turnover of HES based on weight/volume measurements identifies a distribution T1/2 of 1.4 hours and elimination T1/2 of 12.1 hours [ 9].
Using method 1, we randomly assigned empirical plot data from sampled patches to unsampled patches within the same stratum; with method 2 we bootstrapped the plot data to identify a probability distribution of LSF structure for a sampled patch and then randomly assigned these probabilities to unsampled patches within the same stratum.
For tests RV, RA, and IDCP, it is possible to identify a wide distribution of scores, suggesting variability in the results.
We did however identify a spotty distribution of eukaryotes that contain IPK, and from those examined thus far, corresponding IPK activity that could be associated with an alternative route to IPP (1) through the MVA pathway.
Block maxima of each model year are identified providing a distribution of over 2,000 values.
An initial analysis of velocity histograms identified a trimodal distribution of velocities and the cut offs were made to separate the three types of movements velocities: fast movements (> 15 cm min-1), slow movements (between 1.5 and 15 cm min-1), and very slow movement (< 1.5 cm min-1).
Given the experimental record of Cl− current as a function of time, the inverse solver identified a spatial distribution of channels consistent with the model and the recording.
These results agree with genome-wide analyses that identified a bias distribution of tri- and hexa-nucleotide repeats in protein-coding exons of vertebrate, invertebrates, plants and fungi [ 42, 43].
