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.
Installation
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("drieslab/dbSpatial")Usage
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]>