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Yani Bellini Saibene boosted
Rafael H. M. Pereira 馃殹 Urban Demographics
Rafael H. M. Pereira 馃殹 Urban Demographics
@urbandemog.bsky.social@bsky.brid.gy  路  activity timestamp 7 hours ago

Working with big spatial data sets in #rstats? You should try {duckspatial}. The dev version of #duckspatial (soon on CRAN) uses #duckdb to perform super fast and memory efficient spatial operations cidree.github.io/duckspatial/... In a benchmark against, {sf}....

R Interface to DuckDB Database with Spatial Extension

Fast & memory-efficient functions to analyze and manipulate large spatial data data sets. It leverages the fast analytical capabilities of DuckDB and its spatial extension (see https://duckdb.org/docs/stable/core_extensions/spatial/overview) while maintaining compatibility with R鈥檚 spatial data ecosystem to work with spatial vector data.
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Rafael H. M. Pereira 馃殹 Urban Demographics
Rafael H. M. Pereira 馃殹 Urban Demographics
@urbandemog.bsky.social@bsky.brid.gy  路  activity timestamp 7 hours ago

Working with big spatial data sets in #rstats? You should try {duckspatial}. The dev version of #duckspatial (soon on CRAN) uses #duckdb to perform super fast and memory efficient spatial operations cidree.github.io/duckspatial/... In a benchmark against, {sf}....

R Interface to DuckDB Database with Spatial Extension

Fast & memory-efficient functions to analyze and manipulate large spatial data data sets. It leverages the fast analytical capabilities of DuckDB and its spatial extension (see https://duckdb.org/docs/stable/core_extensions/spatial/overview) while maintaining compatibility with R鈥檚 spatial data ecosystem to work with spatial vector data.
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