View source: R/spatial_parabola.R
spatial_parabola | R Documentation |
The function performs event location in space by finding the grid cell with minimum average travel time difference using the parabola approach. For further information see also Hibert et al. (2014) DOI: 10.1002/2013JF002970.
spatial_parabola(data, d_map, v, dt, plot, ...)
data |
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d_map |
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v |
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dt |
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plot |
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... |
Additional arguments passed to the plot function. |
A terra raster with average travel time offsets for each grid cell, implying the most likely source location coinciding with the smallest offset value.
Michael Dietze, Clement Hibert (ITES Strasbourg)
## Not run:
## create synthetic DEM
dem <- terra::rast(nrows = 20, ncols = 20,
xmin = 0, xmax = 10000,
ymin= 0, ymax = 10000,
vals = rep(0, 400))
## define station coordinates
sta <- data.frame(x = c(1000, 9000, 5000),
y = c(1000, 1000, 9000),
ID = c("A", "B", "C"))
## create synthetic signal (source in the center of the DEM)
s <- rbind(dnorm(x = 1:1000, mean = 400, sd = 50),
dnorm(x = 1:1000, mean = 400, sd = 50),
dnorm(x = 1:1000, mean = 800, sd = 50))
## plot DEM and stations
terra::plot(dem)
text(x = sta$x,
y = sta$y,
labels = sta$ID)
## calculate spatial distance maps and inter-station distances
D <- spatial_distance(stations = sta[,1:2],
dem = dem)
## restore SpatRaster object for plotting purpose
D_map_1 <- terra::rast(crs = D$maps[[1]]$crs,
ext = D$maps[[1]]$ext,
res = D$maps[[1]]$res,
val = D$maps[[1]]$val)
## plot distance map
terra::plot(D_map_1)
## locate signal
e <- spatial_parabola(data = s,
d_map = D$maps,
v = 1000,
dt = 1/100,
plot = "parabola",
zlim = c(0, 2))
## End(Not run)
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