#OvertureMaps Alpha Release 2023-07-26 analysis
##Themes (and geometry type)
- Admins (Linestring)
- Places (Point)
- Roads
- Segments (Linestring)
- Connectors (Linestring)
##Flattened Data Structure (as SQLITE3 / SPATIALITE)
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Admins
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CREATE TABLE IF NOT EXISTS "admins" ( "index" INTEGER, "id" TEXT, "updatetime" TEXT, "version" INTEGER, "names" TEXT, "adminlevel" INTEGER, "maritime" TEXT, "subtype" TEXT, "localitytype" TEXT, "context" TEXT, "isocountrycodealpha2" TEXT, "isosubcountrycode" TEXT, "defaultlanugage" TEXT, "drivingside" TEXT, "sources" TEXT, "bbox_minx" REAL, "bbox_maxx" REAL, "bbox_miny" REAL, "bbox_maxy" REAL , "geom" LINESTRING);
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Places
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CREATE TABLE IF NOT EXISTS "places" ( "index" INTEGER, "id" TEXT, "updatetime" TEXT, "version" INTEGER, "names" TEXT, "confidence" REAL, "websites" TEXT, "socials" TEXT, "emails" TEXT, "phones" TEXT, "addresses" TEXT, "sources" TEXT, "categories_main" TEXT, "categories_alternate" TEXT, "brand_names" TEXT, "brand_wikidata" TEXT, "bbox_minx" REAL, "bbox_maxx" REAL, "bbox_miny" REAL, "bbox_maxy" REAL , "geom" POINT);
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Segments
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CREATE TABLE IF NOT EXISTS "segments" ( "index" INTEGER, "id" TEXT, "updatetime" TIMESTAMP, "version" INTEGER, "level" INTEGER, "subtype" TEXT, "connectors" TEXT, "road" TEXT, "sources" TEXT, "bbox_minx" REAL, "bbox_maxx" REAL, "bbox_miny" REAL, "bbox_maxy" REAL , "geom" LINESTRING);
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Connectors
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CREATE TABLE IF NOT EXISTS "connectors" ( "index" INTEGER, "id" TEXT, "updatetime" TIMESTAMP, "version" INTEGER, "level" INTEGER, "subtype" TEXT, "connectors" TEXT, "road" TEXT, "sources" TEXT, "geometry" TEXT, "bbox_minx" REAL, "bbox_maxx" REAL, "bbox_miny" REAL, "bbox_maxy" REAL , "geom" LINESTRING);
- Admin
- Places
- Segments -
- Connectors - 2090100
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pyarrow.lib.ArrowNotImplementedError: Not implemented type for Arrow list to pandas: map<string, string ('array_element')>
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pyarrow.lib.ArrowNotImplementedError: Function 'dictionary_encode' has no kernel matching input types (map<string, list<array_element: map<string, string ('array_element')>> ('names'
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"[('common', array([list([('value', 'Make a memory photobooth'), ('language', 'local')])],\n dtype=object))]"
names = [('common', array([list([('value', 'Fibras Capilares en Argentina'), ('language', 'local')])], dtype=object))]
categories = {'main': 'beauty_salon', 'alternate': array(['health_and_medical', 'hospital'], dtype=object)}
brand = {'names': None, 'wikidata': None} brand = {'names': [('brand_names_common', array([list([('value', 'コメリ'), ('language', 'local')])], dtype=object))], 'wikidata': None}
addresses = [list([('locality', 'Ciudad de Buenos Aires'), ('postcode', '1431'), ('freeform', 'José Pascual Tamborini 5630'), ('region', 'C'), ('country', 'AR')])]
sources = [list([('dataset', 'meta'), ('property', ''), ('recordid', '416537698693731')])]
bbox = {'minx': -58.4976, 'maxx': -58.4976, 'miny': -34.56933, 'maxy': -34.56933}