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These surfaces' estimates are then used to provide statistical tests to identify obstacles and dangers in the environment.
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Response surfaces estimated from the full factorial design for the content of total alkaloids.
Decision surfaces estimated by KNN and SVM from the training samples (averaged over 10 simulations) are displayed.
The exposure surfaces estimated using this approach can be linked to mortality data to assess the malaria-specific mortality burden.
Results were subsequently compared with surface estimates derived from random stratified point count techniques, for numbers of points comprised between 1 and 99 per m2.
The resulting continuous surface estimates disease rates relative to the whole study area.
Refined surface estimates are determined by a set of one- and two-dimensional weighted splines.
A Gaussian function is applied to the intensity profiles contained by these new surface estimates to locate peak myocardial activity.
The first approach calibrates the current spatial surfaces (shown previously in Figure 1) using annual NAPS monitoring data and smoothed IDW interpolation of the ratio's of spatial co-located historical NAPS and surface estimates.
Two approaches were used for calibration: the first estimated historical annual averages using smoothed inverse distance weighting (IDW) interpolation of the ratios of spatial co-located historical NAPS and surface estimates, while the second used linear regression models.
Methods: Block group–level tree canopy and impervious surface estimates were derived from the 2001 National Land Cover Dataset for densely populated urban areas of the United States and Puerto Rico, and linked to demographic characteristics from the 2000 Census.
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