Read a Parquet file. Uses standard metadata information to identify geometry columns and coordinate reference system information.
st_read_parquet(dsn, col_select = NULL, props = NULL, ...)
Arguments
| dsn | character file path to a data source |
|---|---|
| col_select | A character vector of column names to keep. Default is
|
| props | Now deprecated in |
| ... | additional parameters to pass to
|
Value
object of class sf
Details
Reference for the metadata used:
https://github.com/geopandas/geo-arrow-spec. These are standard with
the Python GeoPandas library.
See also
Examples
# load Natural Earth low-res dataset. # Created in Python with GeoPandas.to_parquet() path <- system.file("extdata", package = "sfarrow") world <- st_read_parquet(file.path(path, "world.parquet")) world#> Simple feature collection with 177 features and 5 fields #> Geometry type: GEOMETRY #> Dimension: XY #> Bounding box: xmin: -180 ymin: -90 xmax: 180 ymax: 83.64513 #> Geodetic CRS: WGS 84 #> First 10 features: #> pop_est continent name iso_a3 gdp_md_est #> 1 920938 Oceania Fiji FJI 8.374e+03 #> 2 53950935 Africa Tanzania TZA 1.506e+05 #> 3 603253 Africa W. Sahara ESH 9.065e+02 #> 4 35623680 North America Canada CAN 1.674e+06 #> 5 326625791 North America United States of America USA 1.856e+07 #> 6 18556698 Asia Kazakhstan KAZ 4.607e+05 #> 7 29748859 Asia Uzbekistan UZB 2.023e+05 #> 8 6909701 Oceania Papua New Guinea PNG 2.802e+04 #> 9 260580739 Asia Indonesia IDN 3.028e+06 #> 10 44293293 South America Argentina ARG 8.794e+05 #> geometry #> 1 MULTIPOLYGON (((180 -16.067... #> 2 POLYGON ((33.90371 -0.95, 3... #> 3 POLYGON ((-8.66559 27.65643... #> 4 MULTIPOLYGON (((-122.84 49,... #> 5 MULTIPOLYGON (((-122.84 49,... #> 6 POLYGON ((87.35997 49.21498... #> 7 POLYGON ((55.96819 41.30864... #> 8 MULTIPOLYGON (((141.0002 -2... #> 9 MULTIPOLYGON (((141.0002 -2... #> 10 MULTIPOLYGON (((-68.63401 -...
