Tests if geometries in x touch geometries in y. Returns TRUE if
geometries share a boundary but their interiors do not intersect.
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
touch the corresponding geometry in x. See ddbs_predicate() for details.
Details
This is a convenience wrapper around ddbs_predicate() with
predicate = "touches".
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"))
countries_filter_sf <- countries_sf |> filter(CNTR_ID %in% c("PT", "ES", "FR", "IT"))
# Find neighboring countries
ddbs_touches(countries_filter_sf, countries_sf, id_x = "NAME_ENGL", id_y = "NAME_ENGL")
#> ✔ Query successful
#> $Spain
#> [1] "Andorra" "Gibraltar" "France" "Portugal"
#>
#> $France
#> [1] "Andorra" "Belgium" "Switzerland" "Spain" "Italy"
#> [6] "Germany" "Luxembourg" "Monaco"
#>
#> $Italy
#> [1] "Austria" "Switzerland" "France" "Vatican City" "Slovenia"
#> [6] "San Marino"
#>
#> $Portugal
#> [1] "Spain"
#>
