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Microseismic and streaming potential data from laboratory tests were used for comparison and showed similar trends as in the synthetic data analysis.
Synthetic data analysis with different network geometries helps in evaluating the protocol with imperfect ranges, or insufficient data.
We use a Gaussian function in the synthetic data analysis for the sake of contrast here, and use a power-law function in the spacecraft data analysis (shown below).
We now discuss the simulation of this large network in the Methods ("GEMOT Performance analysis") and Results ("Systematic evaluation of the GEMOT algorithm using synthetic data analysis") sections.
(II) Co-mapped sub-networks (new figure 5 and Figures 5 figure supplement 1-4, and subsections "GEMOT Performance analysis" and "Systematic evaluation of the GEMOT algorithm using synthetic data analysis").
We now provide a detailed description of the simulated sub-networks and comparisons in the Results and Methods (subsections "Systematic evaluation of the GEMOT algorithm using synthetic data analysis" and "GEMOT Performance analysis") and new five figures (new Figure 5 and new Figure 5 figure supplements 1, 2, 3 and 4).
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Our approach is conceptually novel and different from existing approaches for synthetic lethal data analysis.
> > Figure 2 shows synthetic data and their analysis results by the presented method.
JMD carried out the global sensitivity analysis, the creation of the synthetic data sets, and the data analysis, participated in the design of the study, and drafted the manuscript.
This volume details the latest remote sensing techniques for flood monitoring and mapping, including use of optical data from geostationary sensors and LEO spacecraft, synthetic aperture radar (SAR) data analysis, and data fusion.
We then subjected the synthetic data to the same analysis as the experimental data.
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