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Numerical values to World Stress Map Quality Ranking

Source: R/various.R
parse_wsm.Rd

Assigns numeric values of the precision (sd.) of each measurement to the categorical quality ranking of the World Stress Map (A, B, C, D, E).

Usage

parse_wsm_quality(x)

quantise_wsm_quality(x)

Arguments

x

Either a string or a character/factor vector of WSM quality ranking

Value

"numeric". the standard deviation of stress azimuth

References

Heidbach, O., Barth, A., M<U+00FC>ller, B., Reinecker, J., Stephansson, O., Tingay, M., Zang, A. (2016). WSM quality ranking scheme, database description and analysis guidelines for stress indicator. World Stress Map Technical Report 16-01, GFZ German Research Centre for Geosciences. doi:10.2312/wsm.2016.001

Examples

parse_wsm_quality(c("A", "B", "C", "D", NA, "E"))
#>    A    B    C    D <NA>    E 
#>   15   20   25   40   NA   90 
data("san_andreas")
parse_wsm_quality(san_andreas$quality)
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 
#>  C  C  C  C  C  C  C  C  C  A  C  A  C  D  C  C  C  C  C  C  D  C  D  C  C  C 
#> 25 25 25 25 25 25 25 25 25 15 25 15 25 40 25 25 25 25 25 25 40 25 40 25 25 25 
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  A  A  A  A  A 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 15 15 15 15 15 
#>  A  A  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 15 15 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  E  E  E 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 90 90 90 
#>  E  E  E  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 90 90 90 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 
#>  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C  C 
#> 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25