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The parameters of the regression model can be estimated using the Bayesian or the frequentist approaches with spatial data assumed to be available at the individual case level or as spatially aggregated counts in enumeration districts (ED) [ 25- 27].
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The physically relevant random field based uncertainty modelling approach with spatial correlation is adopted in this paper on the basis of Karhunen-Loève expansion.
Then, combining an urban ecosystem services landscape approach with spatial multicriteria analysis weighting scenarios, we examine the distribution of these ecosystem services in the city.
We find that the models produced from a choropleth mapping approach with spatial variables using Euclidian and functional distance surfaces are the best of the ten models.
In this paper, a novel control theoretic framework is introduced that combines the H∞ loop shaping controller synthesis approach with spatial decompositions of instantaneous patterns of optic flow modeled using analogs of wide field motion sensitive interneurons of the insect visuomotor system.
The schemes we propose are referenced as crossing approach, hierarchical approach, and hierarchical approach with spatial averages.
Finally, for the hierarchical approach with spatial averages, we consider the same block sizes as in case of the hierarchical approach.
More dynamic approaches with flexible spatial and temporal boundaries that protect the core areas have been recommended for mobile species19.
Fauvel et al. [3] proposed a spatial-spectral kernel-based approach with the spatial and spectral information were jointly used for the classification.
In the following, regional approaches for dealing with spatial influence of deposition in forest management planning are introduced and a concept for integrating ongoing processes into a process-oriented forest management is described.
Results showed that it is important to combine a spectral domain thresholding approach with a spatial domain thresholding approach.
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