View source: R/interpolation.R
stress2grid | R Documentation |
Stress field interpolation and wavelength analysis using a kernel (weighted) mean/median and standard deviation/IQR of stress data
stress2grid(
x,
stat = c("mean", "median"),
grid = NULL,
lon_range = NULL,
lat_range = NULL,
gridsize = 2,
min_data = 3L,
threshold = 25,
arte_thres = 200,
method_weighting = FALSE,
quality_weighting = TRUE,
dist_weight = c("inverse", "linear", "none"),
idp = 1,
qp = 1,
mp = 1,
dist_threshold = 0.1,
R_range = seq(50, 1000, 50),
...
)
x |
|
stat |
whether the direction of interpolated SHmax is based on the
circular mean and standard deviation ( |
grid |
(optional) Point object of class |
lon_range , lat_range |
(optional) numeric vector specifying the minimum
and maximum longitudes and latitudes (ignored if |
gridsize |
numeric. Target spacing of the regular grid in decimal
degree. Default is |
min_data |
integer. Minimum number of data per bin. Default is |
threshold |
numeric. Threshold for deviation of direction. Default is 25 |
arte_thres |
numeric. Maximum distance (in km) of the grid point to the
next data point. Default is |
method_weighting |
logical. If a method weighting should be applied:
Default is |
quality_weighting |
logical. If a quality weighting should be applied:
Default is |
dist_weight |
Distance weighting method which should be used. One of
|
idp , qp , mp |
numeric. The weighting power of inverse distance, quality
and method. Default is |
dist_threshold |
numeric. Distance weight to prevent overweight of data
nearby (0 to 1). Default is |
R_range |
numeric value or vector specifying the kernel half-width(s),
i.e. the search radius (in km). Default is |
... |
(optional) arguments to |
This is a modified version of the MATLAB script "stress2grid"
sf
object containing
longitude and latitude in degrees
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
https://github.com/MorZieg/Stress2Grid
Ziegler, M. and Heidbach, O. (2019). Matlab Script Stress2Grid v1.1. GFZ Data Services. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.5880/wsm.2019.002")}
dist_greatcircle()
, PoR_stress2grid()
, compact_grid()
,
circular_mean()
, circular_median()
, circular_sd()
data("san_andreas")
stress2grid(san_andreas, stat = "median")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.