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Spatial Interpolation of SHmax in PoR Coordinate Reference System

Source: R/interpolation.R
PoR_stress2grid.Rd

The data is transformed into the PoR system before the interpolation. The interpolation grid is returned in geographical coordinates and azimuths.

Usage

PoR_stress2grid(
  x,
  PoR,
  grid = NULL,
  PoR_grid = TRUE,
  lon_range = NULL,
  lat_range = NULL,
  gridsize = 2.5,
  remove_PoR = FALSE,
  ...
)

PoR_stress2grid_stats(
  x,
  PoR,
  grid = NULL,
  PoR_grid = TRUE,
  lon_range = NULL,
  lat_range = NULL,
  gridsize = 2.5,
  remove_PoR = FALSE,
  ...
)

Arguments

x

sf object containing

azi

\(\sigma_\text{Hmax}\) in degree

unc

Uncertainties of \(\sigma_\text{Hmax}\) in degree

type

Methods used for the determination of the orientation of \(\sigma_\text{Hmax}\)

PoR

Pole of Rotation. data.frame or object of class "euler.pole" containing the geographical coordinates of the Euler pole

grid

(optional) Point object of class sf.

PoR_grid

logical. Whether the grid should be generated based on the coordinate range in the PoR (TRUE, the default) CRS or the geographical CRS (FALSE). Is ignored if grid is specified.

lon_range, lat_range

(optional) numeric vector specifying the minimum and maximum longitudes and latitudes (are ignored if grid is specified).

gridsize

Numeric. Target spacing of the regular grid in decimal degree. Default is 2.5 (is ignored if grid is specified)

remove_PoR

logical. Whether PoR azimuths and coordinates will be removed from final output or not (the default.)

...

Arguments passed to stress2grid()

Value

sf object containing

lon,lat

longitude and latitude in geographical CRS (in degrees)

lon.PoR,lat.PoR

longitude and latitude in PoR CRS (in degrees). Only if remove_PoR=TRUE

azi

geographical mean \(\sigma_\text{Hmax}\) in degree

azi.PoR

PoR mean \(\sigma_\text{Hmax}\) in degree. Only if remove_PoR=TRUE

sd

Standard deviation of \(\sigma_\text{Hmax}\) in degrees

R

Search radius in km

mdr

Mean distance of datapoints per search radius

N

Number of data points in search radius

Details

Stress field and wavelength analysis in PoR system and back-transformed

See also

stress2grid(), compact_grid()

Examples

data("san_andreas")
data("nuvel1")
PoR <- subset(nuvel1, nuvel1$plate.rot == "na")
PoR_stress2grid(san_andreas, PoR) |> head()
#> Simple feature collection with 6 features and 10 fields
#> Geometry type: POINT
#> Dimension:     XY
#> Bounding box:  xmin: -125.0802 ymin: 34.07892 xmax: -125.0802 ymax: 34.07892
#> Geodetic CRS:  WGS 84
#>     lon.PoR  lat.PoR azi.PoR sd   R N mdr                   geometry      lat
#> 1 -84.77055 52.59628      NA  0  50 0  NA POINT (-125.0802 34.07892) 34.07892
#> 2 -84.77055 52.59628      NA  0 100 0  NA POINT (-125.0802 34.07892) 34.07892
#> 3 -84.77055 52.59628      NA  0 150 0  NA POINT (-125.0802 34.07892) 34.07892
#> 4 -84.77055 52.59628      NA  0 200 1  NA POINT (-125.0802 34.07892) 34.07892
#> 5 -84.77055 52.59628      NA  0 250 1  NA POINT (-125.0802 34.07892) 34.07892
#> 6 -84.77055 52.59628      NA  0 300 2  NA POINT (-125.0802 34.07892) 34.07892
#>         lon azi
#> 1 -125.0802  NA
#> 2 -125.0802  NA
#> 3 -125.0802  NA
#> 4 -125.0802  NA
#> 5 -125.0802  NA
#> 6 -125.0802  NA

if (FALSE) { # \dontrun{
PoR_stress2grid_stats(san_andreas, PoR, mode = TRUE) |> head()
} # }