ufp_impute: Impute missing GPS data

In wolfeclw/pufpR: Personal Ultrafine Particle (PUFP) Sensor Data Cleaning and Analysis

Impute missing GPS data

Description

ufp_impute() imputes missing lon/lat coordinates that occur during GPS lapses.

Usage

ufp_impute(
  df,
  distance_threshold = 100,
  jitter_amount = 1e-05,
  show_lapse_distance = FALSE,
  fill_open_lapses = FALSE,
  speed_threshold = 5,
  speed_window = 60,
  open_lapse_length = 600
)

Arguments

df	data frame created by ufp_read().
distance_threshold	distance (meters) between the last known coordinates before a GPS lapse and the first known coordinates after a lapse are compared to this value. If the distance exceeds this threshold, coordinates are not imputed. Default = 100.
jitter_amount	numeric; amount of jitter to apply to imputed coords. Default = 0.00001 decimal degrees. See st_jitter.
show_lapse_distance	NEEDS A DEF
fill_open_lapses	logical; impute missing coordinates at the beginning and end of the data frame (i.e. lapses not enclosed by known coordinates). Default = FALSE.
speed_threshold	criteria to impute open lapses. If the median speed of cooridnates before or after an open lapse exceeds this threshold, coordinates are not imputed. Default = 5 (m/s).
speed_window	numeric; number of rows used to calculate 'speed_threshold.'
open_lapse_length	if the number of rows in an open lapse exceed this threshold, coordinates are not imputed. Default = 600.

Value

a data frame. An additional column is created to indicate whehter coordinates were imputed ('imputed_coord'). he function also creates an additional column stating the distance between lapses ('lapse_distance').

Examples

## Not run: 

ufp_impute(df,
  distance_threshold = 100, jitter_amount = 0.00001, fill_open_lapses = FALSE,
  speed_threshold = 5, speed_window = 60, open_lapse_length = 600
)

## End(Not run)

wolfeclw/pufpR documentation built on April 2, 2022, 9:48 a.m.