get_sportfitness_osm | R Documentation |
Download and process OpenStreetMap (OSM) public sports/fitness amenities (points) within place
,
from the Geofabrik database. It is a wrapper around
functions in the package osmextract
, and
processes the downloaded files for subsequent analyses. Refer to package osmextract
for
more details and options for input arguments when downloading the data.
get_sportfitness_osm(
place,
date = NULL,
dir_raw = osmextract::oe_download_directory(),
filename = NULL,
...
)
place |
|
date |
Date of OSM data snapshot to download. Object of class "Date" in format |
dir_raw |
character. Directory to download the raw unprocessed OSM data. Passed to
argument |
filename |
character (optional). File path to export output data (GeoJSON format). |
... |
Other arguments passed to |
OSM points filtered by key-value attributes, where leisure:fitness_station
or sport:*
,
and access:
is not no
or private
.
The processed sport/fitness amenities (sf
object).
## Not run:
data(pop_sgp)
pop_sgp <- sf::st_transform(pop_sgp, sf::st_crs(32648)) # transform to projected crs
# merge all census blocks for chosen year (2020) into single multi-polygon
# function requires that polygons are merged
city_boundaries <- pop_sgp %>%
dplyr::filter(year == 2020) %>%
sf::st_union() %>%
sf::st_as_sf() %>%
smoothr::fill_holes(threshold = units::set_units(1, 'km^2')) %>% # clean up
smoothr::drop_crumbs(threshold = units::set_units(1, 'km^2')) %>%
sf::st_make_valid()
# run function
get_sportfitness_osm(place = city_boundaries,
date = as.Date('2021-01-01'),
filename = 'sport-fitness_osm-points_2021-01-01.geojson')
## End(Not run)
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