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We demonstrated that the maximum parsimony performance varies substantially depending on these factors, although stochastic mapping performs well for a large set of scenarios.
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The prediction models for soil property mapping performed well, with overall RMSEP values of 10.6, 0.34, 9.1, and 6.5 for SOC, pH, sand, and sum of bases, respectively.
We recently showed that tree-centric approaches to carbon mapping perform well in Alpine coniferous forests (r2 = 0.98 when field and ALS estimates of carbon stocks are compared) and that a correction factor can be applied to account for the small obscured trees that were invisible from the air (Dalponte and Coomes 2016).
Homology mapping performs relatively well in predicting relative solvent accessibility [ 49] but clearly it is not perfect.
VirMAP's mapping reconstruction performs well even in situations where an underlying genome has both low read depth and high divergence from the nearest known databaszae entry.
The results show that our proposed Bayesian joint-mapping method performs well for mapping multiple QTLs in situations of either bivariate continuous traits or mixed data types.
Schlimm (2008) offers an entirely different critique of the structure-mapping theory from the perspective of analogical reasoning in mathematics—a domain where one might expect a formal approach such as structure mapping to perform well.
Paired-end mapping methods perform well for mate-pair sequence data and have the advantage of identifying both balanced (e.g. translocations or inversions) and unbalanced (deletions and duplications) structural variation.
Our study found that all four models generated foraging habitat suitability maps that performed well at predicting the species-specific quality of foraging habitat based on the configuration of the landscape.
The controller has the unique advantages of nonlinear mapping and adaptive learning, and performs well over a wide range of input voltages and output load currents.
The HS-ARTMAP only receives the compressed distributed coding processed by distributed ART to deal with the proliferation problem which ARTMAP (adaptive resonance theory map) architecture often encounters and still performs well in electric load forecasting.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com