Create grid of equally spaced rectangles or hexagons. The distance between centre points
in both x and y dimension is equal to `cell_size`

. The function is effectively a wrapper around
`st_make_grid`

with a little bit of preprocessing including generation of grid only inside
`st_convex_hull`

.

```
create_grid_rectangular(
geometry,
cell_size,
side_offset = 0,
only_inside = FALSE
)
create_grid_hexagonal(
geometry,
cell_size,
side_offset = 0,
only_inside = FALSE
)
```

- geometry
`sf`

`data.frame`

containing geometry which should be cover by the grid.- cell_size
`numeric`

specifying the distance for equally spaced centers of polygons (rectangular or hexagonal).- side_offset
`numeric`

specifying the side offset, distance added to the convex hull of input geometry to generate grid for KDE. Good estimate is usually the same value as band width of KDE.- only_inside
`logical`

specifying if the grid cells should be generated only inside of the geometry. Default value is`FALSE`

.

`create_grid_rectangular()`

: Create rectangular grid`create_grid_hexagonal()`

: Create hexagonal grid

```
library(sf)
#> Linking to GEOS 3.11.1, GDAL 3.6.2, PROJ 9.1.1; sf_use_s2() is TRUE
nc <- st_read(system.file("shape/nc.shp", package = "sf")) %>% st_transform(32031)
#> Reading layer `nc' from data source
#> `/home/runner/work/_temp/Library/sf/shape/nc.shp' using driver `ESRI Shapefile'
#> Simple feature collection with 100 features and 14 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: -84.32385 ymin: 33.88199 xmax: -75.45698 ymax: 36.58965
#> Geodetic CRS: NAD27
grid <- create_grid_hexagonal(nc, cell_size = 100000)
grid <- create_grid_rectangular(nc, cell_size = 100000, only_inside = TRUE)
```