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The Imazon and Saatchi et al. data products represent substantial methodological advances over simple interpolation or forest type maps for estimating the spatial distribution of forest biomass in Amazonia [75, 76].
The Imazon and Saatchi et al. data products represent substantial methodological advances over simple interpolation or forest type maps for estimating the spatial distribution of forest biomass in Amazonia [ 75, 76].
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We applied a published SAS routine [ 24] to access Google Maps for estimated driving times from the geographic centroid of each patient's ZIP code to those of all VA hospitals within a 300-mile radius of that code, and selected the shortest travel time as a measure of proximity to VA acute care.
Given that researchers have developed equations for numerous, but not always standardized, components, we established a "road map" for estimating biomass via various calculation pathways (Figure 6).
In order to obtain accurate HR images, the proposed method first performs clustering of the training HR patches and derives an inverse map for estimating the missing high-frequency components from the two nonlinear eigenspaces of training HR patches and their corresponding low-frequency components in each cluster.
Given that researchers have developed equations for numerous, but not always standardized, components, we established a "road map" for estimating biomass via various calculation pathways.
Overall, this model appears to be effective as a mapping tool for estimating balance control during locomotion.
This inverse mapping problem for estimating force-applied location by a few known strain data is formulated and analyzed for a square plate structure.
Both for mapping and for estimating spatial means of an environmental variable, the accuracy of the result will usually be increased by dispersing the sample locations so that they cover the study area as uniformly as possible.
Here, we demonstrate two cases to validate the potential power of map queries for estimating and forecasting revenue.
Secondly, the MAP criterion for estimating channel gain becomes useless when the PU state is inactive, i.e., x n = 0; therefore, we should resort to some other effective ways to combat this problem.
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