Sentence examples for estimating the spatial from inspiring English sources

Kernel density estimation is a non-parametric method for estimating the spatial density of future volcanic events based on the the locations of past volcanic events (Connor and Connor 2009; Kiyosugi et al 2010; Bebbington and Cronin 2010).

Huang, N. et al. Estimating the spatial pattern of soil respiration in Tibetan alpine grasslands using Landsat TM images and MODIS data.

We consider the inter-annual variability of the calculated GHF to be explained by uncertainties in estimating the spatial and temporal gradients from observations in Eq. 4 and, therefore, in accordance with a constant GHF of ~93 mW m−2.

In this paper, we investigate the optimal voxel dimensions for estimating the spatial distribution of within crown leaf area density.

The present study aimed at estimating the spatial variability of coralligenous habitat, one of the main important habitats of the Mediterranean Sea, at several spatial scales.

Then, two specific versions of the generalized CSP are proposed, where a specific target function and optimization constraint are used for estimating the spatial and spectral filters.

Hardebeck and Michael (2006) developed a method to estimate the spatial variation of the stress field from parametric data gathered at spatially distributed grid points.

After image processing, point spread function was measured to estimate the spatial resolution of the imaging system.

The local likelihood method is adopted to estimate the spatial relationship, while the smoothing method is employed to estimate the temporal variation.

We also estimate the spatial regularization parameter in the Potts model prior.

Results show that the model estimated the spatial and temporal variation in phenological parameters precisely.