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Uses sf::st_sample() to produce points and spatial joins with input shp. Each engine function takes the same arguments and produces comparable outputs. Final number of points may be approximate for this method.

Usage

engine_sf_regular(shp, col)

Arguments

shp

input shp with sf geometry.

col

character column name to produce points with

Value

tibble with sf geometries

Examples

set.seed(1)
data('suffolk')
engine_sf_regular(suffolk[16:20,], 'pop_nhpi')
#> Simple feature collection with 22 features and 21 fields
#> Geometry type: POINT
#> Dimension:     XY
#> Bounding box:  xmin: -7914844 ymin: 5205801 xmax: -7908374 ymax: 5212512
#> Projected CRS: WGS 84 / Pseudo-Mercator
#> # A tibble: 22 × 22
#>    GEOID    NAME    pop pop_white pop_black pop_hisp pop_aian pop_asian pop_nhpi
#>    <chr>    <chr> <dbl>     <dbl>     <dbl>    <dbl>    <dbl>     <dbl>    <dbl>
#>  1 2502500… 0408…  5671      3212       467      572        1      1131       17
#>  2 2502500… 0408…  5671      3212       467      572        1      1131       17
#>  3 2502500… 0408…  5671      3212       467      572        1      1131       17
#>  4 2502500… 0408…  5671      3212       467      572        1      1131       17
#>  5 2502500… 0408…  5671      3212       467      572        1      1131       17
#>  6 2502500… 0408…  5671      3212       467      572        1      1131       17
#>  7 2502500… 0408…  5671      3212       467      572        1      1131       17
#>  8 2502500… 0408…  5671      3212       467      572        1      1131       17
#>  9 2502500… 0408…  5671      3212       467      572        1      1131       17
#> 10 2502500… 0408…  5671      3212       467      572        1      1131       17
#> # ℹ 12 more rows
#> # ℹ 13 more variables: pop_other <dbl>, pop_two <dbl>, vap <dbl>,
#> #   vap_white <dbl>, vap_black <dbl>, vap_hisp <dbl>, vap_aian <dbl>,
#> #   vap_asian <dbl>, vap_nhpi <dbl>, vap_other <dbl>, vap_two <dbl>,
#> #   dots_type <chr>, geometry <POINT [m]>