Such transformations are tested for objectivity using the new criterion of structural view independence.
Box Cox (for slope) and arctangent (for curvature) transformations are tested on nine digital elevation models (DEMs) of varying origin and resolution, and different landscapes, and shown to be effective.
Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), Normalized Burn Ratio (NBR) and the greenness and wetness components of the Tasseled Cap Transformation were tested.
Different data pretreatment methods, i.e. centering, autoscaling, pareto scaling, range scaling, vast scaling, log transformation, and power transformation, were tested on a real-life metabolomics data set.
Such transformations are testing the foundations of our conceptual frameworks.
Sensitivity of the arctangent transformation is tested, showing that Gaussian kurtosis transformations are acceptable also in terms of histogram shape.
The biological activity of the pBD003 binary vector for the agrobacterium-mediated transformation was tested, and the infectivity of the pBD-TuMV series was evaluated on the TuMV systemic host N. benthamiana by agro-infiltration, whereas the virus culture of TuMV YC5 was mechanically inoculated on N. benthamiana plant as a positive control.
Log-linear transformation was tested but the outcome was similar to raw data (for bees surviving ≤50 h vs. >50 h in hyperoxia: F = 3.79, P = 0.046; for bees not responding vs. responding to sucrose at ≤0.1% in H2O: F = 21.18, P = 0.002).
Anchorage-independent growth ability, one hallmark of cell neoplastic transformation, was tested by soft agar assay.
