Figure 3
Data processing and feature scoring. (a) Procedures for mapping features to scores. For each group of features, the number of resolution-dependent parameters (red) or resolution-independent parameters (blue) required is shown. (b) Histograms of training data for a single feature in a single bin of resolution along with fitted probability density functions (PDFs) for water and sulfate data. Distributions like those shown are used to calculate ED and CC scores using the equations and definitions shown. (c) Example RPMS. Bin values for the observed mean (black dots) and standard deviation (cyan dots) for feature CC1 are plotted versus resolution. The spline fit to each series is shown as a solid line coloured similarly. |