preprocess_obs: Pre-processes observations

In andrewzm/atminv: Reproducible package for Section 4.1 of "Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion"

Description

This function simply takes a data frame and performs standard pre-processing functions such as removing obvious outliers and averaging data in computationally efficient way over a regular grid

Usage

preprocess_obs(Obs.obj, std_lim = NA, abs_lim = NA, avr_method = NA,
  box_size = 10, min_pts = 4, ...)

Arguments

Obs.obj	The observation object
std_lim	Values with error higher than std_lim are deleted
abs_lim	Values which are bigger than abs_lim are deleted
avr_method	If mean then the mean value and mean error on a sub-grid are used to sub-sample the observations. If median the median value and MAD of the z-values are used for subsampling. If mean_no_std or median_no_std, the error is not computed ignored.
box_size	The grid width over which the observations are averaged
min_pts	If a grid box contains less than min_pts it is marked as empty
...	Other parameters which are ignored

andrewzm/atminv documentation built on May 10, 2019, 11:14 a.m.