Snaps the coordinates of geometries to a regular grid, reducing their
precision. Coordinates are rounded to the nearest multiple of precision
(e.g. precision = 0.1 keeps one decimal place, precision = 1
snaps to integers). The CRS is preserved.
Usage
ddbs_reduce_precision(
x,
precision,
conn = NULL,
name = NULL,
mode = NULL,
overwrite = FALSE,
quiet = FALSE
)Arguments
- x
Input spatial data. Can be:
A
duckspatial_dfobject (lazy spatial data frame via dbplyr)An
sfobjectA
tbl_lazyfrom dbplyrA character string naming a table/view in
conn
Data is returned from this object.
- precision
Numeric grid size to snap coordinates to. Smaller values keep more precision (e.g.
0.001); larger values snap more aggressively (e.g.1snaps to integers).- conn
A connection object to a DuckDB database. If
NULL, the function runs on a temporary DuckDB database.- name
A character string of length one specifying the name of the table, or a character string of length two specifying the schema and table names. If
NULL(the default), the function returns the result as ansfobject- mode
Character. Controls the return type. Options:
"duckspatial"(default): Lazy spatial data frame backed by dbplyr/DuckDB"sf": Eagerly collected sf object (uses memory)
Can be set globally via
ddbs_options(mode = "...")or per-function via this argument. Per-function overrides global setting.- overwrite
Boolean. whether to overwrite the existing table if it exists. Defaults to
FALSE. This argument is ignored whennameisNULL.- quiet
A logical value. If
TRUE, suppresses any informational messages. Defaults toFALSE.
Value
Depends on the mode argument (or global preference set by ddbs_options):
duckspatial(default): Aduckspatial_df(lazy spatial data frame) backed by dbplyr/DuckDB.sf: An eagerly collected object in R memory, that will return the same data type as thesfequivalent (e.g.sforunitsvector).
When name is provided, the result is also written as a table or view in DuckDB and the function returns TRUE (invisibly).
Examples
if (FALSE) { # \dontrun{
## load package
library(duckspatial)
## read data
countries_ddbs <- ddbs_open_dataset(
system.file("spatial/countries.geojson",
package = "duckspatial")
)
## snap coordinates to a 0.01 grid
ddbs_reduce_precision(countries_ddbs, precision = 0.01)
} # }
