User talk:jleedev

Wikidata and FAA airportsBouzinac (talk) 06:45, 14 July 2019 (UTC)

Hello, thanks for your contribution on Waltman Airport (Q49751725) If you are interested and if you have time, could you help me find the duplicates or holes, and correct them ? --Bouzinac (talk) 06:45, 14 July 2019 (UTC)[reply]

PREFIX wdno: <http://www.wikidata.org/prop/novalue/>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>

SELECT DISTINCT ?locLabel ?airport ?airportLabel ?coord ?long ?lat ?ICAO ?IATA ?Local_Code ?dist
{
  {
  SELECT DISTINCT ?loc ?airport (SAMPLE(?_coord) AS ?coord) (SAMPLE(?_long) AS ?long) (SAMPLE(?_lat) AS ?lat) ?ICAO ?IATA (SAMPLE(?Local_Code) AS ?Local_Code)
  {
    ?airport wdt:P31/(wdt:P279*) wd:Q62447;
      wdt:P17 wd:Q30.
    MINUS { ?airport wdt:P576 _:b2. }
    MINUS { ?airport wdt:P582 _:b3. }
    MINUS { ?airport wdt:P31/(wdt:P279*) wd:Q1311670. }
    MINUS { ?airport wdt:P31/(wdt:P279*) wd:Q7373622. }
    MINUS { ?airport wdt:P31/(wdt:P279*) wd:Q2265915. }
    MINUS { ?airport wdt:P31/(wdt:P279*) wd:Q44665966. }
    MINUS { ?airport wdt:P31/(wdt:P279*) wd:Q782667. }
    MINUS { ?airport rdf:type wdno:P17. }
    OPTIONAL {
      ?airport p:P625 [
        a wikibase:BestRank; ps:P625 ?_coord;
        psv:P625 [ wikibase:geoLongitude ?_long; wikibase:geoLatitude ?_lat ]
      ] .
    } .
    OPTIONAL { ?airport wdt:P239 ?ICAO. }
    OPTIONAL { ?airport wdt:P238 ?IATA. }
    OPTIONAL { ?airport wdt:P240 ?Local_Code. }
    OPTIONAL {
      ?airport wdt:P131* ?loc.
      ?loc wdt:P31 ?type.
      ?type (wdt:P279*) wd:Q35657.
    } .
  } GROUP BY ?loc ?airport ?ICAO ?IATA
  } .
  wd:Q934 wdt:P625 ?pole .
  BIND( geof:distance( ?pole, ?coord ) AS ?dist ) .
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en,fr,[AUTO_LANGUAGE]". }
}
ORDER BY ?dist ?long ?lat

Click here to launch the Wikidata query

Bouzinac (talk) 06:45, 14 July 2019 (UTC)[reply]

Sounds thrilling. When I view those results in QGIS and set it to "point cluster", some duplicates immediately pop into view, but is there a more systematic approach? jleedev (talk) 14:10, 14 July 2019 (UTC)[reply]

To answer my own question, this query appears to use "distance from north pole" as a proxy for clustering nearby locations together. jleedev (talk) 18:15, 15 July 2019 (UTC)[reply]

Hello jleedev, you got the point. You could also sort by name and check the possible duplicates but it's a very lenghty process as there would be 21.000 elements to check... Typically, if an element share name but X has a FAA code and Y not, then there is high chances of duplicates

And sometimes, it might appear that the airport/aérodrome no longer exists. Then I would put a dissolved, abolished or demolished date (P576) = unknown value [which helps tell it's a closed airport, and helps filter closed airports]--Bouzinac (talk) 04:51, 16 July 2019 (UTC)[reply]

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