z22_grid | R Documentation |
Retrieve the entire INSPIRE grid.
Unlike the feature grids retrieved from z22_data
,
the INSPIRE grid encompasses the entire area of Germany. You can thus use
it to join with the incomplete feature grids from z22_data
to create a complete dataset.
z22_grid(
res,
year = 2019,
rasterize = FALSE,
as_sf = FALSE,
update_cache = FALSE
)
res |
Resolution of the grid. Can be |
year |
Version of the grid. Can be 2015, 2017, 2018 and 2019. Defaults to the latest version. |
rasterize |
If |
as_sf |
If |
update_cache |
By default, both functions cache attribute files for
the remainder of the R session. They are downloaded to a temporary directory
and - if the file to download already exists - are recovered from the cache.
In other words, when rerunning the same request multiple times, the
subsequent calls should be much faster. If |
Note the uncompressed object sizes of the output (2019 version):
100 m: 38 million cells, 291 MB
250 m: 6 million cells, 47 MB
1 km: 384 thousand cells, 3 MB
5 km: 16 thousand cells, 0.12 MB
10 km: 4 thousand cells, 0.03 MB
A tibble, SpatRasterDataset
or
sf
tibble depending on the rasterize
and as_sf
arguments.
If a tibble is returned each category in categories
is stored in
a column. If a SpatRasterDataset
is returned, each category is a
named layer.
# Get high-res grid as tibble
z22_grid("100m")
# Get low-res grid as raster
z22_grid("1km", rasterize = TRUE)
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