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,
...
)
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 |
... |
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)
geographical mean SHmax in degree
PoR mean SHmax in degree
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)
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