dist_weighted_mean: Interpolate inverse-distance-weighted measures.

In btskinner/distRcpp: Compute Geodesic Distance and Distance-Weighted Measures Using Rcpp

Description

Interpolate inverse-distance-weighted measures for each x coordinate using measures taken at surrounding y coordinates. Ending measures are weighted by inverse distance so that surrounding measures taken in nearby areas are given more weight in final average.

Usage

dist_weighted_mean(x_df, y_df, measure_col, x_id = "id", x_lon_col = "lon",
  x_lat_col = "lat", y_lon_col = "lon", y_lat_col = "lat",
  dist_function = "Haversine", dist_transform = "level", decay = 2)

Arguments

x_df	DataFrame with coordinates that need weighted measures
y_df	DataFrame with coordinates at which measures were taken
measure_col	String name of measure column in y_df
x_id	String name of unique identifer column in x_df
x_lon_col	String name of column in x_df with longitude values
x_lat_col	String name of column in x_df with latitude values
y_lon_col	String name of column in y_df with longitude values
y_lat_col	String name of column in y_df with latitude values
dist_function	String name of distance function: "Haversine" (default) or "Vincenty"
dist_transform	String value of distance weight transform: "level" (default) or "log"
decay	Numeric value of distance weight decay: 2 (default)

Value

Dataframe of distance-weighted values

btskinner/distRcpp documentation built on Sept. 17, 2021, 12:04 p.m.