Provides a preview of the weight options for areal weighted interpolation.
This can be useful for selecting the final specification for aw_interpolate
without having to construct a pipeline of all of the subfunctions manually.
aw_preview_weights(.data, tid, source, sid, type)A sf object that data should be interpolated to (this is referred
to as the target elsewhere in the package).
A unique identification number within target
A sf object with data to be interpolated
A unique identification number within source
One of either "extensive" (if the data are spatitally extensive e.g.
population counts), "intensive" (if the data are spatially intensive e.g.
population density), or "mixed" (if the data include both extensive and
intensive values). If "extensive", the sum is returned for the interpolated
value. If "intensive", the mean is returned for the interpolated value.
If "mixed", vectors named "extensive" and "intensive" containing
the relevant variable names should be specified in the dots.
A tibble with the areal weights that would be used for interpolation if type is either "extensive" or "intensive". If it is mixed, two tibbles (one for
"extensive" and one for "intensive") are returned as a list.
aw_preview_weights(ar_stl_wards, tid = WARD, source = ar_stl_race, sid = GEOID,
type = "extensive")
#> # A tibble: 106 × 3
#> GEOID extensiveSum extensiveTotal
#> <chr> <dbl> <dbl>
#> 1 29510101100 1 0.999
#> 2 29510101200 1 1.00
#> 3 29510101300 1 1.00
#> 4 29510101400 1 1.00
#> 5 29510101500 1 0.998
#> 6 29510101800 1 0.978
#> 7 29510102100 1 0.991
#> 8 29510102200 1 0.999
#> 9 29510102300 1 0.999
#> 10 29510102400 1 1.00
#> # … with 96 more rows
aw_preview_weights(ar_stl_wards, tid = WARD, source = ar_stl_asthma, sid = GEOID,
type = "intensive")
#> # A tibble: 28 × 2
#> WARD intensive
#> <int> <dbl>
#> 1 1 1
#> 2 2 1
#> 3 3 1
#> 4 4 1
#> 5 5 1
#> 6 6 1
#> 7 7 1
#> 8 8 1
#> 9 9 1
#> 10 10 1
#> # … with 18 more rows