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From public focus groups, a range of attributes was derived as central to the Scottish public's preferences for future agri-environmental reform.
The analytic focus of "decision attributes" was derived a priori from the interview guide.
However, as described by some authors, DCE studies provide limited information on how the final set of attributes was derived [ 31, 32].
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Terrain attributes were derived from the resulting DEM.
The new concept of clustering along with its unique attributes are derived mathematically.
The current forest structure was derived from LiDAR data of individually detected trees and a set of forest structural attributes were derived.
A geomorphic classification of landforms and topographic attributes were derived from a remote sensing-based (ASTER) digital elevation model and SPOT-5 satellite imagery.
The topographic attributes were derived from a digital elevation model, while those related to soils were determined for the collected samples.
Third, a condition set, including various attributes is derived from spectral bands, band math or ratio indices based on previous studies, at the same time, the decision set is derived from true land types after investigation and validation.
These attributes are derived from turn-level statistics and transformations in the domains of fundamental frequency, energy, duration, and formants.
In this section, the loss equations for non-beneficial/beneficial attributes are derived for linear, quadratic and cubic functions.
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