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Get a correspondence table, either via strayr::read_correspondence_tbl or by creating one with make_correspondence_tbl

get_correspondence_tbl.Rd

Get a correspondence table, either via strayr::read_correspondence_tbl or by creating one with make_correspondence_tbl

Usage

get_correspondence_tbl(
  from_area = NULL,
  from_year = NULL,
  from_geo = NULL,
  to_area = NULL,
  to_year = NULL,
  to_geo = NULL,
  export_dir = tempdir(),
  export_fname = NULL,
  mb_geo = get_mb21_pop()
)

Arguments

from_area

The area you want to correspond FROM (i.e. the areas your data are currently in). For example: 'sa1', 'sa2', 'sa3', 'sa4'.

from_year

The year you want to correspond FROM. For example: 2011, 2016.

from_geo

The FROM polygon geography. Helpful if it is not available using from_year and from_area in get_polygon.

to_area

The area you want to correspond TO (i.e. the areas you want your data to be in).

to_year

The year you want to correspond TO.

to_geo

The TO polygon geography. Helpful if it is not available using to_year and to_area in get_polygon.

export_dir

The directory to store the downloaded data.

export_fname

The file name for the saved file (applicable if from_geo) and to_geo are used instead of areas and years).

mb_geo

mesh blocks data with census population. Defaults to using the 2021 edition mesh blocks and 2021 census data (see get_mb21_pop()).

Value

A tibble.

Examples

get_correspondence_tbl(from_area = "sa2", from_year = 2021, to_area = "LHN")
#> Error in get(filename) : object 'CG_SA2_2021_LHN_' not found
#> Last resort: making correspondence table using shapes and population at mesh block level
#> The data for the Local Hospital Networks (LHN) are from here: <https://hub.arcgis.com/datasets/ACSQHC::local-hospital-networks/explore>
#> # A tibble: 2,526 × 3
#>    sa2_code_2021 LHN_Name     ratio
#>    <chr>         <chr>        <dbl>
#>  1 101021007     Southern NSW     1
#>  2 101021008     Southern NSW     1
#>  3 101021009     Southern NSW     1
#>  4 101021010     Southern NSW     1
#>  5 101021012     Southern NSW     1
#>  6 101021610     Southern NSW     1
#>  7 101021611     Southern NSW     1
#>  8 101031013     Southern NSW     1
#>  9 101031014     Southern NSW     1
#> 10 101031015     Southern NSW     1
#> # ℹ 2,516 more rows