Feed costs were estimated using regional prices of fodder and feed additives and recommended optimal rations for different animal groups.
Soil moisture (SMR) and nutrient regimes (SNR) were estimated using regional ecosystem field guides [46].
Ambient air pollution exposures were estimated using regional (IDW monitor interpolation), urban (regression modelling), and local (road proximity) components.
Assuming the excesses of standardized mortality or hospitalization ratios were attributable to environmental pressures documented in the areas, avoidable cases were estimated using regional health statistics [ 9, 10].
Alternatively, diffusing capacity can be estimated using stereological methods, which provide regional information at microscopic resolution, applied to fixed lung tissues [4], [5].
As previously mentioned, the two parameters VT and BP used to evaluate the [C]DASB regional distribution can be estimated using invasive and time-consuming kinetic methods such as 1TC, 2TC and Logan graphical models which require the placement of an arterial catheter.
The regional data are estimated using the regional share of the number of households that experienced reduced consumer spending as a result of cyclone Sidr, as well as the regional share of decreased public/private investment in infrastructure.
After delineation of the catchments for the ungauged reaches, flood quantiles as an important factor in flood inundation at outlets of these reaches with different probabilities were estimated using the regional regression models.
Because of funding constraints and equipment availability, whole-body SkMM and fat mass were estimated using BIA, although regional body composition was performed using state-of-the-art computed tomography methodology.
The whole genomic relationship matrix G was estimated using all SNPs and the regional genomic additive effect was estimated from a regional genomic relationship matrix constructed from adjacent SNPs from each region.
