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Geographic boundary analysis is a relatively new approach that is just beginning to be applied in spatial and spatio-temporal epidemiology to quantify spatial variation in health outcomes, predictors and correlates; generate and test epidemiologic hypotheses; to evaluate health-environment relationships; and to guide sampling design.
This approach promotes a broader, more integrated view on climate change and natural hazards that can be applied in spatial planning, disaster prevention and management, as well as in other research fields.
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It is shown how these stable algorithms can be applied in higher spatial dimensions and how they can be extended to problems defined on unstructured meshes.
Nevertheless, the drawback of the original WS method is that it can only be applied in the spatial domain.
To summarize, we use the SD parameter as an estimate of the noise to be applied in the spatial algorithm, which will be renewed on a temporary adaptive filter in order to ultimately generate an adaptive spatio-temporal noise estimator.
Here super-resolution image reconstruction is proposed to be applied in enhancing the spatial resolution of digital holograms.
The proposed solution is not exclusive to a particular architecture or operating system and can be applied in various environments and spatial resolutions of the generated raster model as well as at different magnitudes of the data to be interpolated.
According to the probability theory, Zhu et al. [14] presented the uncertainty analysis of robots with revolute joint clearances, which can be applied in both planar and spatial mechanical systems.
Especially in patients with seizures arising adjacent to essential brain regions, invasive electroencephalogram (EEG) recordings with chronically indwelling subdural strip and grid electrodes (termed electrocorticogram, ECoG) or depth electrodes have to be applied in order to increase spatial resolution (Behrens et al. 1994; Zumsteg and Wieser 2000).
These 3D imaging systems may be applied in the situation that the high spatial resolution is not required. .
GRE T2*WI can be applied in tumors based on its high spatial resolution and sensitivity in nonhomogeneous tissues in the magnetic field.
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