home / docs

sections

1 row where page = "spatialite" and title = "Spatial indexing latitude/longitude columns"

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: breadcrumbs (array)

id ▼ page ref title content breadcrumbs references
spatialite:spatial-indexing-latitude-longitude-columns spatialite spatial-indexing-latitude-longitude-columns Spatial indexing latitude/longitude columns Here's a recipe for taking a table with existing latitude and longitude columns, adding a SpatiaLite POINT geometry column to that table, populating the new column and then populating a spatial index: import sqlite3 conn = sqlite3.connect("museums.db") # Lead the spatialite extension: conn.enable_load_extension(True) conn.load_extension("/usr/local/lib/mod_spatialite.dylib") # Initialize spatial metadata for this database: conn.execute("select InitSpatialMetadata(1)") # Add a geometry column called point_geom to our museums table: conn.execute( "SELECT AddGeometryColumn('museums', 'point_geom', 4326, 'POINT', 2);" ) # Now update that geometry column with the lat/lon points conn.execute( """ UPDATE museums SET point_geom = GeomFromText('POINT('||"longitude"||' '||"latitude"||')',4326); """ ) # Now add a spatial index to that column conn.execute( 'select CreateSpatialIndex("museums", "point_geom");' ) # If you don't commit your changes will not be persisted: conn.commit() conn.close() ["SpatiaLite"] []

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE [sections] (
   [id] TEXT PRIMARY KEY,
   [page] TEXT,
   [ref] TEXT,
   [title] TEXT,
   [content] TEXT,
   [breadcrumbs] TEXT,
   [references] TEXT
);
Powered by Datasette · Queries took 15.459ms