invert4geom.DatasetAccessorInvert4Geom

class DatasetAccessorInvert4Geom(ds)

A class which allows adding properties and methods as xarray dataset accessors.

Parameters:

ds (Dataset)

__init__(ds)

Parameters:

ds (Dataset)

Methods

__init__(ds)
add_density_correction(step)	update the model dataset with the density corrections.
add_topography_correction(step)	update the model dataset with the surface corrections.
forward_gravity(layer[, name, field, ...])	Calculate the forward gravity of the model at each point of the gravity grid.
plot_anomalies([points, points_style, coast])	plot gravity anomalies
plot_model(**kwargs)	Use pyvista to plot the prism model.
plot_observed([coast])	plot observed gravity
plot_regional_separation([points, ...])	plot gravity misfit and estimate regional and residual components
regional_constant([constant, ...])	Calculate the gravity misfit as the difference between dataset variables gravity_anomaly and forward_gravity.
regional_constraints(constraints_df[, ...])	Calculate the gravity misfit as the difference between dataset variables gravity_anomaly and forward_gravity.
regional_constraints_cv(constraints_df[, ...])	This is a convenience function to wrap optimize_regional_constraint_point_minimization.
regional_eq_sources([depth, damping, ...])	Calculate the gravity misfit as the difference between dataset variables gravity_anomaly and forward_gravity.
regional_filter(filter_width[, filter_type, ...])	Calculate the gravity misfit as the difference between dataset variables gravity_anomaly and forward_gravity.
regional_separation(method, **kwargs)	Calculate the gravity misfit as the difference between dataset variables gravity_anomaly and forward_gravity.
regional_trend(trend[, regional_shift, ...])	Calculate the gravity misfit as the difference between dataset variables gravity_anomaly and forward_gravity.
update_model_ds(style)	apply the corrections (density or topography) and update the model tops, bottoms, topo, and densities.

Attributes

df	return the dataframe representation of the xarray dataset without nans
inner	return only the inside region of the xarray dataset
inner_df	return the dataframe representation of the inner region of the xarray dataset without nans
masked	return only the model elements with a non-nan mask value
masked_df	return the dataframe representation of the masked xarray dataset without nans