
Construct pointwise contour-uncertainty bands
ps_contour_uncertainty.RdConstruct pointwise contour-uncertainty bands
Usage
ps_contour_uncertainty(
uncertainty,
levels,
probability = 0.9,
method = c("empirical_crossing", "gaussian_pointwise"),
keep_realized_contours = FALSE,
minimum_realizations = 20,
accept_gaussian = FALSE
)Arguments
- uncertainty
A
potentiomap_uncertaintyobject.- levels
Contour head levels.
- probability
Central pointwise probability.
- method
Empirical realization crossing or Gaussian pointwise method.
- keep_realized_contours
Retain contours for each realization.
- minimum_realizations
Minimum successful empirical realizations.
- accept_gaussian
Explicitly accept the Gaussian pointwise assumption.
Value
A potentiomap_contour_uncertainty object. Bands are pointwise, not
simultaneous confidence regions.
Examples
data("synthetic_wells")
p <- ps_make_points(synthetic_wells[1:14, ], "x", "y", "gw_elevation",
"well_id", "EPSG:26916")
fit <- suppressWarnings(ps_interpolate(p, methods = "OK", grid_res = 300,
return = "result"))
u <- ps_surface_uncertainty(fit, approach = "kriging_variance")
cu <- ps_contour_uncertainty(u, levels = 168, method = "gaussian_pointwise",
accept_gaussian = TRUE)
cu$level_manifest
#> level probability method pointwise_band_area_m2
#> 1 168 0.9 gaussian_pointwise 8100000
#> finite_realizations gaussian_assumption
#> 1 0 TRUE
# This is a pointwise band, not a simultaneous confidence region.