View source: R/interpolation.R
| PoR_stress2grid | R Documentation |
The data is transformed into the PoR system before the interpolation. The interpolation grid is returned in geographical coordinates and azimuths.
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,
...
)
x |
|
PoR |
Pole of Rotation. |
grid |
(optional) Point object of class |
PoR_grid |
logical. Whether the grid should be generated based on the
coordinate range in the PoR ( |
lon_range, lat_range |
(optional) numeric vector specifying the minimum
and maximum longitudes and latitudes (are ignored if |
gridsize |
Numeric. Target spacing of the regular grid in decimal
degree. Default is 2.5 (is ignored if |
remove_PoR |
logical. Whether PoR azimuths and coordinates will be removed from final output or not (the default.) |
... |
Arguments passed to |
Stress field and wavelength analysis in PoR system and back-transformed
sf object containing
longitude and latitude in geographical CRS (in degrees)
longitude and latitude in PoR CRS (in degrees).
Only if remove_PoR=TRUE
geographical mean SHmax in degree
PoR mean SHmax in degree. Only if remove_PoR=TRUE
Standard deviation of SHmax in degrees
Search radius in km
Mean distance of datapoints per search radius
Number of data points in search radius
stress2grid(), compact_grid()
data("san_andreas")
data("nuvel1")
PoR <- subset(nuvel1, nuvel1$plate.rot == "na")
PoR_stress2grid(san_andreas, PoR) |> head()
## Not run:
PoR_stress2grid_stats(san_andreas, PoR, mode = TRUE) |> head()
## End(Not run)
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