Tests if geometries in x are within geometries in y. Returns TRUE if
geometry x is completely inside geometry y.
Arguments
- x
An
sfspatial object. Alternatively, it can be a string with the name of a table with geometry column within the DuckDB databaseconn. Data is returned from this object.- y
An
sfspatial object. Alternatively, it can be a string with the name of a table with geometry column within the DuckDB databaseconn.- conn
A connection object to a DuckDB database. If
NULL, the function runs on a temporary DuckDB database.- id_x
Character; optional name of the column in
xwhose values will be used to name the list elements. IfNULL, integer row numbers ofxare used.- id_y
Character; optional name of the column in
ywhose values will replace the integer indices returned in each element of the list.- sparse
A logical value. If
TRUE, it returns a sparse index list. IfFALSE, it returns a dense logical matrix.- quiet
A logical value. If
TRUE, suppresses any informational messages. Defaults toFALSE.
Value
A list where each element contains indices (or IDs) of geometries in y that
contain the corresponding geometry in x. See ddbs_predicate() for details.
Details
This is a convenience wrapper around ddbs_predicate() with
predicate = "within".
See also
ddbs_predicate() for other spatial predicates.
Examples
## load packages
library(dplyr)
library(duckspatial)
library(sf)
## read countries data, and rivers
countries_sf <- read_sf(system.file("spatial/countries.geojson", package = "duckspatial")) |>
filter(CNTR_ID %in% c("PT", "ES", "FR", "IT"))
rivers_sf <- st_read(system.file("spatial/rivers.geojson", package = "duckspatial")) |>
st_transform(st_crs(countries_sf))
#> Reading layer `rivers' from data source
#> `/home/runner/work/_temp/Library/duckspatial/spatial/rivers.geojson'
#> using driver `GeoJSON'
#> Simple feature collection with 100 features and 1 field
#> Geometry type: LINESTRING
#> Dimension: XY
#> Bounding box: xmin: 2766878 ymin: 2222357 xmax: 3578648 ymax: 2459939
#> Projected CRS: ETRS89-extended / LAEA Europe
ddbs_within(rivers_sf, countries_sf, id_x = "RIVER_NAME", id_y = "NAME_ENGL")
#> ✔ Query successful
#> $`Rio Garona`
#> [1] "Spain" "Italy"
#>
#> $`Bidasoa Ibaia`
#> [1] "Spain" "France" "Portugal"
#>
#> $`Baztan Ibaia`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Urumea`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Oria Ibaia`
#> [1] "Spain" "Italy"
#>
#> $`Oria Ibaia`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Urola Ibaia`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Deba Ibaia`
#> [1] "France" "Italy" "Portugal"
#>
#> $`Rio Nervion`
#> [1] "Spain" "France" "Portugal"
#>
#> $`Ibaizabal Ibaia`
#> [1] "Spain" "Italy" "Portugal"
#>
#> $`Rio Agüera O Mayor`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Ason`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Miera`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Pas`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Saja`
#> [1] "Spain" "France" "Portugal"
#>
#> $`Rio Besaya`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Nansa`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Deva`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Cares`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Sella`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Piloña`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Nalon`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Narcea`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Pigüeña`
#> [1] "Spain" "France" "Italy"
#>
#> $`Rio Nora`
#> [1] "Spain" "France" "Italy" "Portugal"
#>
#> $`Rio Trubia`
#> integer(0)
#>
#> $`Rio Esva`
#> integer(0)
#>
#> $`Rio Barcena`
#> integer(0)
#>
#> $`Rio Navia`
#> integer(0)
#>
#> $`Rio Navia`
#> integer(0)
#>
#> $`Rio Navia`
#> integer(0)
#>
#> $`Rio Navia`
#> integer(0)
#>
#> $`Rio Navia`
#> integer(0)
#>
#> $`Rio Agueira`
#> integer(0)
#>
#> $`Rio Eo`
#> integer(0)
#>
#> $`Rio Masma`
#> integer(0)
#>
#> $`Rio Landro`
#> integer(0)
#>
#> $`Rio Sor`
#> integer(0)
#>
#> $`Rio Mera`
#> integer(0)
#>
#> $`Rio Eume`
#> integer(0)
#>
#> $`Rio Eume`
#> integer(0)
#>
#> $`Rio Eume`
#> integer(0)
#>
#> $`Rio Mandeo`
#> integer(0)
#>
#> $`Rio Mero`
#> integer(0)
#>
#> $`Rio Anllons`
#> integer(0)
#>
#> $`Rio Xallas`
#> integer(0)
#>
#> $`Rio Xallas`
#> integer(0)
#>
#> $`Rio Xallas`
#> integer(0)
#>
#> $`Rio Tambre`
#> integer(0)
#>
#> $`Rio Ulla`
#> integer(0)
#>
#> $`Rio Ulla`
#> integer(0)
#>
#> $`Rio Ulla`
#> integer(0)
#>
#> $`Rio Arnego`
#> integer(0)
#>
#> $`Rio Arnego`
#> integer(0)
#>
#> $`Rio Umia`
#> integer(0)
#>
#> $`Rio Lerez`
#> integer(0)
#>
#> $`Rio Verdugo`
#> integer(0)
#>
#> $`Rio Miño`
#> integer(0)
#>
#> $`Rio Miño`
#> integer(0)
#>
#> $`Rio Miño`
#> integer(0)
#>
#> $`Rio Miño`
#> integer(0)
#>
#> $`Rio Miño`
#> integer(0)
#>
#> $`Rio Miño`
#> integer(0)
#>
#> $`Rio Miño`
#> integer(0)
#>
#> $`Rio Miño`
#> integer(0)
#>
#> $`Rio Tea`
#> integer(0)
#>
#> $`Rio Arnoia`
#> integer(0)
#>
#> $`Rio Avia`
#> integer(0)
#>
#> $`Rio Avia`
#> integer(0)
#>
#> $`Rio Avia`
#> integer(0)
#>
#> $`Rio Sil`
#> integer(0)
#>
#> $`Rio Sil`
#> integer(0)
#>
#> $`Rio Sil`
#> integer(0)
#>
#> $`Rio Sil`
#> integer(0)
#>
#> $`Rio Sil`
#> integer(0)
#>
#> $`Rio Cabe`
#> integer(0)
#>
#> $`Rio Mao`
#> integer(0)
#>
#> $`Rio Bibei`
#> integer(0)
#>
#> $`Rio Bibei`
#> integer(0)
#>
#> $`Rio Bibei`
#> integer(0)
#>
#> $`Rio Xares`
#> integer(0)
#>
#> $`Rio Xares`
#> integer(0)
#>
#> $`Rio Xares`
#> integer(0)
#>
#> $`Rio Conso`
#> integer(0)
#>
#> $`Rio Conso`
#> integer(0)
#>
#> $`Rio Camba`
#> integer(0)
#>
#> $`Rio Camba`
#> integer(0)
#>
#> $`Rio Camba`
#> integer(0)
#>
#> $`Rio Camba`
#> integer(0)
#>
#> $`Rio Selmo`
#> integer(0)
#>
#> $`Rio Burbia`
#> integer(0)
#>
#> $`Rio Boeza`
#> integer(0)
#>
#> $`Rio Neira`
#> integer(0)
#>
#> $`Rio Ladra`
#> integer(0)
#>
#> $`Rio Parga`
#> integer(0)
#>
#> $`Rio Limia`
#> integer(0)
#>
#> $`Rio Limia`
#> integer(0)
#>
#> $`Rio Limia`
#> integer(0)
#>
#> $`Rio Limia`
#> integer(0)
#>
#> $`Rio Salas`
#> integer(0)
#>
