High-Performance Open-Source Archive
{dbSpatial} is a core package in the dbverse
library.
The goal of {dbSpatial} is to provide larger-than-memory
spatial operations for various spatial data sources. The package largely
relies on the DuckDB spatial
extension.
Note: Work in progress! Bugs or unexpected behavior are likely to occur. We welcome user feedback and reporting issues on the Github page.
You can install the development version of dbSpatial from Github like so:
# install.packages("pak", repos = sprintf("https://r-lib.github.io/p/pak/stable/%s/%s/%s", .Platform$pkgType, R.Version()$os, R.Version()$arch))
pak::pak("dbverse-org/dbspatial-r")The DuckDB spatial extension can be used with wrapper functions in
this package directly (ST_*()), through dplyr verbs
containing ST_*() functions, or SQL queries to a DuckDB
database connection containing ST_*() functions.
library(dbSpatial)
# create duckdb db in memory
duckdb_conn = DBI::dbConnect(duckdb::duckdb(), ":memory:")
# test data
test_data = data.frame(x = 1:10, y = 1:10, id = 1:10)
points <- dbSpatial(conn = duckdb_conn,
name = "test_points",
value = test_data,
x_colName = "x",
y_colName = "y",
overwrite = TRUE)
points
#> # Class: dbSpatial
#> # Source: table<test_points> [10 x 4]
#> # Database: DuckDB v1.0.0 [root@Darwin 23.5.0:R 4.4.1/:memory:]
#> x y id geom
#> <int> <int> <int> <list>
#> 1 1 1 1 <raw [32]>
#> 2 2 2 2 <raw [32]>
#> 3 3 3 3 <raw [32]>
#> 4 4 4 4 <raw [32]>
#> 5 5 5 5 <raw [32]>
#> 6 6 6 6 <raw [32]>
#> 7 7 7 7 <raw [32]>
#> 8 8 8 8 <raw [32]>
#> 9 9 9 9 <raw [32]>
#> 10 10 10 10 <raw [32]>
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