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Read a cell-based slip model as a 2D matrix, convert it to a grid-based slip distribution, and bilinearly interpolate the slip distribution using a selected grid spacing.
This section describes the spectral analysis and synthesis procedure in a workflow manner to further illustrate the method we used to generate stochastic slip realisations that resemble inverted slip distributions. 1. Read a cell-based slip model as a 2D matrix, convert it to a grid-based slip distribution, and bilinearly interpolate the slip distribution using a selected grid spacing.
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To avoid this problem, we used the Kish Grid, a method of selecting eligible respondents randomly from within a household using a random number table.
Table 1 shows the absolute values of error for k = 4, 8, 1 6, 3 2 Open image in new window using the present method in selected grid points.
For the sand flats and sand dunes, plots were selected using a 500 m grid selected over the whole area.
Wards were segmented into grid squares, two grid squares were randomly selected, a street was randomly selected within each selected grid, and a house was randomly selected on the street as a start point.
Households are randomly selected from the Royal Mail's Postcode Address File of 'small users', and individuals from each household are selected using a Kish grid.
We present here some preliminary results obtained with few selected Grid applications that make use of StarPlane.
One Cantonese-speaking adult (age≥18) who lives >4 nights per week in each household was selected using a Kish grid.
One individual per household was selected using a Kish grid (Cramm et al., 2012) to ensure that all age-eligible individuals in the household stood an equal chance of being interviewed.
The SVM kernels and parameters were selected using a grid search of 9-fold cross validated accuracy of the training set.
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