{ "_id": "6a17afe9acfb0bcc41d9ac52", "Package": "dbSpatial", "Title": "Spatial Data Operations for Database-Backed Geometries", "Version": "0.1.2", "Authors@R": "c(person(\"Edward\", \"C. Ruiz\", , \"ecr7407@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-9174-5387\")),\nperson(\"Jiaji\", \"George Chen\", email = \"jiajic@bu.edu\", role = c(\"aut\")),\nperson(\"Ruben\", \"Dries\", email = \"rubendries@gmail.com\",role = c(\"aut\", \"rev\")))", "Description": "Provides database-backed spatial geometry classes and\nmethods for working with vector spatial data in 'DuckDB'. The\npackage supports loading, converting, querying, joining, and\nmeasuring spatial geometries through familiar 'sf'-style\ninterfaces while keeping geometry columns lazy inside the\ndatabase. It integrates with 'dbProject' to preserve database\npaths, live connections, and spatial table metadata across\ninteractive sessions. 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