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Three spatially exhaustive datasets (a laser-scanned digital elevation model, airborne gamma radiation scanning data and a legacy Quaternary deposit map) were calibrated against topsoil texture and SOM content in around 13,500 soil samples, using multivariate adaptive regression splines (MARSplines) modelling.
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The ratio image shows that whilst there is a lot of small-scale differences - the ACIS-S instrument maps are calibrated per column and there are horizontal and vertical gradients - the overall image is flat within a 5% margin.
In the figures presented here, the height scale of the displacement maps was calibrated according to the AFM data.
Land use maps of (1 5000) were calibrated and coded in ARCMAP 9.2 (ESRI 2013) for the subsequent spatial analysis and ecosystem services valuations.
The land use and hydrologic models were calibrated using satellite maps and daily flow and meteorological data, respectively.
Mangrove height and aboveground biomass were mapped using the SRTM DEM, which were calibrated with field-measured data via quantile regression models.
Then the images were calibrated to distance.
Chemical shifts were calibrated against tetramethylsilane (TMS).
The pH electrodes were calibrated regularly.
Western blots were calibrated with protein standards.
Both examiners were calibrated.
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