Sentence examples for spatial method from inspiring English sources

The spatial method was applied to improved and surface water sources.

This study used a Bayesian spatial method to examine the effects of environmental degradation (measured as dryland salinity) on the mental health of the resident rural population.

In this paper, we present this new spatial method, using remote sensing and a GIS, designed to determine the contamination risk due to agricultural inputs, such as pesticides.

In this work, the authors solved the MIMO radar parameter estimation problem by two methods: the spatial method for large arrays and temporal method for small arrays by a fast and robust CS algorithm.

The spatial method discussed in [22], e.g., the classical beamforming and high resolution algorithms like MUSIC cannot be directly applied, since the covariance matrix of the array outputs would be rank-deficient due to the limited temporal samples.

The variance of the residual noise in the temporally filtered frame is calculated using the initial estimates of noise standard deviation prior to temporal denoising and weights used for temporal filtering as: σ r 2 = ∑ t = 1.. T ∑ h = 1.. H α ( t, h ) 2 σ ( t, h ) 2. The spatial method adapts to the locally estimated noise variance.

In this study, clustered TB genotypes were spatially aggregated, confirming previous findings that utilized different genotypic and spatial methods [ 6, 31].

In Xuzhou urban area, we identified 49 patches (Less than 100 ha) and 32 corridors by spatial methods.

Quantitative spatial methods are highly suitable to address questions of distributional justice, while qualitative methods are more appropriate to investigate post-distributive aspects of justice.

If papers were missed, they are most likely from the category 1 studies (i.e. mapping of descriptive data), with no clear methodology indicating application of spatial methods.

The thresholding techniques were categorized into six major groups according to the information explored such as histogram-shape-based methods, clustering-based methods, entropy-based methods, object-attribute-based methods, spatial methods, and local methods.