get_phi_space_wts: Calculate spatially-biased re-sampling weights with phi...

In mrfoliveira/STResampling-JDSA2020: Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting

Description

Calculate weights for re-sampling with a spatial bias with phi look-up. Observations have a distance that tends to 1 as they are farther away from the closest relevant case (besides itself) at time slice t (meaning they are more likely to be kept). Farthest away from relevant cases at time slice t: d -> 1.

Usage

get_phi_space_wts(
  df,
  phi,
  rel.thr,
  sites_sf = NULL,
  lon = NULL,
  lat = NULL,
  crs = NULL,
  site_id,
  time
)

Arguments

df	a data frame
phi	a vector of the relevance values of df's target variable
rel.thr	a relevance threshold above which an observation is considered relevant
sites_sf	An sf obejct containing station and IDs and geometry points of the locations. As an alternative, provide lon, lat, and crs
lon	the name of the column containing the location's longitude
lat	the name of the column containing the location's latitude
crs	the code for the Coordinate Reference System
site_id	the name of the column containing location IDs
time	the column name of the time-stamp

Value

A vector of spatially-biased re-sampling weights, scaled to fit within range [0,1].

mrfoliveira/STResampling-JDSA2020 documentation built on June 28, 2021, 7:01 p.m.