PostGIS Terminal Examples: Unterschied zwischen den Versionen
Aus Geoinformation HSR
Stefan (Diskussion | Beiträge) K (→Simple SQL Queries) |
Stefan (Diskussion | Beiträge) K (→Simple SQL Queries) |
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| Zeile 118: | Zeile 118: | ||
AND (hstore("tags")->'highway') IS NOT NULL | AND (hstore("tags")->'highway') IS NOT NULL | ||
AND ST_Within(w.way, p.way) </nowiki> | AND ST_Within(w.way, p.way) </nowiki> | ||
| + | |||
| + | Bounding Box gegeben ein geografischer Name (Beispiel "Entlebuch"): | ||
| + | * Enter Entlebuch in http://boundingbox.klokantech.com/ | ||
| + | * Select DublinCore (and reduce to 4 digits) => westlimit=7.9891; southlimit=46.9419; eastlimit=8.3543; northlimit=47.1263 | ||
| + | * Place coords. in Polygon: | ||
| + | <nowiki> | ||
| + | SELECT ST_AsText( ST_Transform( ST_GeomFromText( | ||
| + | 'MULTIPOLYGON(((7.9891 47.1263, 8.3543 47.1263, | ||
| + | 8.3543 46.9419, 7.9891 46.9419, | ||
| + | 7.9891 47.1263)))', 4326), 900913) ) </nowiki> | ||
== Complex SQL Queries == | == Complex SQL Queries == | ||
Version vom 4. September 2013, 16:03 Uhr
Here are some examples queries for the PostGIS Terminal.
Inhaltsverzeichnis
Simple SQL Queries
OSM-Ways mit Teilen eines Keys finden (finding a string part of a key):
SELECT osm_id, name, tags FROM osm_line WHERE array_to_string(akeys(tags), ', ') like '%conditional%';
Alle Zoos der Schweiz (Tipp: http://labs.geometa.info/postgisterminal/?xapi=*[tourism=zoo]):
SELECT ST_AsText(way) AS geom, name||' '||osm_id AS label
FROM osm_all
WHERE tags @> hstore('tourism','zoo')
Schweizer Kernkraftwerke mit 40 Km-Puffer:
SELECT
ST_AsText(ST_Buffer(ST_Centroid(way),40000)) AS geom,
name AS label
FROM osm_all
WHERE tags @> hstore('generator:source','nuclear')
Alle Restaurants mit Namen 'Rössli' der Schweiz:
SELECT ST_AsText(way) AS geom, name AS label FROM osm_point WHERE amenity = 'restaurant' AND name ILIKE '%rössli%'
Suche nach Namen, die "Hochschule" und "Rapperswil" (und was auch immer für Zeichen dazwischen sind):
SELECT ST_AsText(way) geom,
COALESCE(name, '')||' '||osm_id AS label
FROM osm_all
WHERE hstore("tags")->'name' LIKE 'Hochschule%Rapperswil'
Alle 4000er Berggipfel der Schweiz:
SELECT ST_AsText(way) AS geom, name||','||ele AS label
FROM osm_point
WHERE "natural" = 'peak'
AND to_number('0'||ele, '99999999999.000')::int >= 4000
oder:
SELECT ST_AsText(way) AS geom, COALESCE(name, '')||' '||osm_id AS label
FROM osm_poi
WHERE tags @> hstore('natural', 'peak')
AND CAST(regexp_replace(hstore("tags")->'ele', '[^0-9\.]', '', 'g') AS real) >= 4000
Alle Aussichtspunkte im Kanton Zürich, die höher als 500 m ü.M. sind:
SELECT ST_AsText(a.way) geom, COALESCE(name, '')||' '||ele||' m ü.M' AS label
FROM
osm_point AS a,
(SELECT way FROM osm_polygon
WHERE name = 'Zürich'
AND tags @> hstore('admin_level','4')) AS b
WHERE ST_Contains(b.way,a.way)
AND tags @> hstore('tourism','viewpoint')
AND to_number('0'||ele, '99999999999.000')::int >= 500
Alle Picnic-Plätze und Aussichtspunkte im aktuellen Kartenausschnitt:
SELECT ST_AsText(way) AS geom, name AS label
FROM osm_point
WHERE tourism IN ('picnic_site','viewpoint')
AND ST_Contains(mapextent(), way)
Alle Schulhäuser im Umkreis von 40 km aller Kernkraftwerke:
SELECT ST_AsText(a.way) AS geom, '' AS label
FROM
osm_poi AS a,
(SELECT ST_Buffer(ST_Centroid(way),40000) AS way
FROM osm_poi
WHERE tags @> hstore('generator:source','nuclear')) AS b
WHERE ST_Within(a.way,b.way)
AND a.tags @> hstore('amenity', 'school')
UNION
SELECT ST_AsText(ST_Buffer(ST_Centroid(way),40000)) AS geom, COALESCE(name, '') AS label
FROM osm_poi
WHERE tags @> hstore('generator:source','nuclear')
Die nächsten 10 Bars in der Nähe von 'mylocation' (ungeachtet der Distanz):
SELECT ST_AsText(osm_poi.way) AS geom, COALESCE(name, '') AS label
FROM
osm_poi,
(SELECT ST_Transform(ST_GeomFromText('POINT(8.81638 47.22666)', 4326), 900913) AS way) AS mylocation
WHERE osm_poi.tags @> hstore('amenity', 'bar')
ORDER BY osm_poi.way <-> mylocation.way
LIMIT 10
Die nächsten 100 Restaurants in der Nähe von 'mylocation' im Umkreis von max. 20 Km (Luftlinie):
SELECT ST_AsText(osm_poi.way) AS geom, COALESCE(name, '') AS label
FROM
osm_poi,
(SELECT ST_Transform(ST_GeomFromText('POINT(8.81638 47.22666)', 4326), 900913) AS way) AS mylocation
WHERE ST_DWithin(osm_poi.way, mylocation.way, 20000)
AND osm_poi.tags @> hstore('amenity', 'restaurant')
ORDER BY osm_poi.way <-> mylocation.way
LIMIT 100
Alle Strassen mit Namen "Bahnhofstrasse" im Kt.ZH:
SELECT ST_AsText(ST_LineMerge(w.way))
FROM osm_line w,
(SELECT way FROM osm_polygon
WHERE name = 'Zürich'
AND tags @> hstore('admin_level','4')) AS p
WHERE w.name = 'Bahnhofstrasse'
AND (hstore("tags")->'highway') IS NOT NULL
AND ST_Within(w.way, p.way)
Bounding Box gegeben ein geografischer Name (Beispiel "Entlebuch"):
- Enter Entlebuch in http://boundingbox.klokantech.com/
- Select DublinCore (and reduce to 4 digits) => westlimit=7.9891; southlimit=46.9419; eastlimit=8.3543; northlimit=47.1263
- Place coords. in Polygon:
SELECT ST_AsText( ST_Transform( ST_GeomFromText(
'MULTIPOLYGON(((7.9891 47.1263, 8.3543 47.1263,
8.3543 46.9419, 7.9891 46.9419,
7.9891 47.1263)))', 4326), 900913) )
Complex SQL Queries
Select names of all OSM-objects containing 'zoo' at start middle or end (using wildcard '%' in String):
SELECT ST_AsText(way) geom, COALESCE(name, ' ')||' '||osm_id label FROM osm_all WHERE hstore(tags)->'name' ILIKE '%zoo%'
Select all parking lots for disabled persons (Rollstuhlparkplatz / wheel parking) within visible map area (without FIXME). Note: Tag capacity:disabled currently occurs always together with amenity={parking, parking_space, parking_entrance}):
SELECT ST_AsText(way) geom,
COALESCE(name,' ')||' ('||COALESCE(SUBSTRING((tags->'capacity:disabled') FROM E'[0-9]+'),' ')||')' label
FROM osm_poi
WHERE (tags @> '"capacity:disabled"=>"yes"'
OR SUBSTRING((tags->'capacity:disabled') FROM E'[0-9]+')::int > 0)
AND ST_Contains(mapextent(), way)
Select all motorways (higways) with speed limit greater or equal than 100:
SELECT ST_AsText(way) geom FROM osm_line WHERE tags @> '"highway"=>"motorway"' AND COALESCE(SUBSTRING((tags->'maxspeed') FROM E'[0-9]+')::int,0) >= 100 -- 1806!
Count tags except xxx...:
SELECT array_upper(%# tags, 1) AS "#tags", count(*) AS "count" FROM osm_point WHERE array_upper(%# tags, 1) > 0 AND NOT EXISTS (SELECT skeys FROM skeys(tags) WHERE skeys LIKE 'xxx:%') GROUP BY 1 ORDER BY 1
Marker Queries
marker query (must have exactly field names lon, lat, title and description):
SELECT X(p2.way) AS lon, Y(p2.way) AS lat, 'Briefkasten' AS title, p2.ref AS description FROM planet_osm_polygon p1 JOIN planet_osm_point p2 ON CONTAINS(p1.way, p2.way) WHERE p1.name = 'Uster' AND p2.amenity = 'post_box'
Extension with user defined marker icon (attribute 'icon'):
SELECT X(p2.way) AS lon, Y(p2.way) AS lat, 'Briefkasten' AS title, p2.ref AS description, 'http://myserver/marker.png' as icon FROM planet_osm_polygon p1 JOIN planet_osm_point p2 ON CONTAINS(p1.way, p2.way) WHERE p1.name = 'Uster' AND p2.amenity = 'post_box'
Mouse Queries
Finding Nearest Point to Linestrings (Snapping)
- Lösung mit Distanzen innerhalb 50m (siehe ST_DWithin).
- Anwendung: PostGIS-Terminal aufrufen, Copy&Paste dieser Query, dann in Karte klicken.
- Bemerkungen:
- (_mouse_x, _mouse_y) liefern die Mauskoordinaten (anstelle mypos).
- Die Lösung verwendet WITH-Klausel, da (_mouse_x, _mouse_y) vom Terminal nur einmal geparst werden (leider).
- (tags->'highway') liefert die Strassenart, z.B. unclassified, pedestrian, etc.
- (SELECT geom FROM tmp1) liefert die Mauskoordinaten
- COALESCE(name,'NN') liefert NN wenn kein Name vorhanden
WITH tmp1 AS (
SELECT ST_SetSRID(ST_MakePoint(_mouse_x, _mouse_y), 900913) AS geom
),
tmp2 AS (
SELECT osm_id, way, name, tags, ST_Distance((SELECT min(geom)::geometry FROM tmp1), way) as distance
FROM osm_line
WHERE (tags->'highway') IS NOT NULL
AND ST_DWithin((SELECT geom FROM tmp1), way, 50)
)
SELECT
ST_AsText(way) AS geom,
COALESCE(name,'NN')||' ('||(tags->'highway')||')' AS label
FROM tmp2
ORDER BY distance
LIMIT 1
(Fast) dasselbe wie oben aber mit KNN Index (<->) nun aber mit den 10 nächsten Linien (k-Nearest Neighbor (KNN) Index)
- geordnet nach dem Zentrum der Bounding Boxes ('<->' Operator).
- Hinweis: der <#> ordnet nach den Bounding Boxen selber (ab PostGIS 2.0 und PostgreSQL 9.1)
WITH tmp1 AS (
SELECT ST_SetSRID(ST_MakePoint(_mouse_x, _mouse_y), 900913) AS geom
),
tmp2 AS (
SELECT osm_id, way, name, tags, ST_Distance((SELECT min(geom)::geometry FROM tmp1), way) as distance
FROM osm_line
WHERE (tags->'highway') IS NOT NULL
ORDER BY way <-> (SELECT min(geom)::geometry FROM tmp1)
LIMIT 10
)
SELECT
ST_AsText(way) AS geom,
COALESCE(name,'NN')||' ('||(tags->'highway')||')' AS label
FROM tmp2
ORDER BY distance
LIMIT 1
Statistics
All tupels in all tables
SELECT '1. '||to_char(count(*), '999G999G999')||' osm_point(s)' FROM osm_point UNION SELECT '2. '||to_char(count(*), '999G999G999')||' osm_poi(s)' FROM osm_poi UNION SELECT '3. '||to_char(count(*), '999G999G999')||' osm_line(s)' FROM osm_line UNION SELECT '4. '||to_char(count(*), '999G999G999')||' osm_polygon(s)' FROM osm_polygon UNION SELECT '5. '||to_char(count(*), '999G999G999')||' osm_nodes' FROM osm_nodes UNION SELECT '6. '||to_char(count(*), '999G999G999')||' osm_ways' FROM osm_ways UNION SELECT '7. '||to_char(count(*), '999G999G999')||' osm_rels' FROM osm_rels ORDER BY 1
All Tag-Value-Pairs of OSM data
Kann anstelle mit osm_point auch mit osm_all durchgeführt werden.
--
-- Key-Value Statistics of OSM Data
-- Return all key-value-pairs of type 'enum' without some
-- types numeric, date/time etc. chosen by hand:
--
-- Alternative with separate tag-value:
-- SELECT tmp.key as tag, tmp.value as value, count(*)::integer as freq
SELECT tmp.key||'='||tmp.value as kvp, count(*)::integer as freq
FROM (
SELECT (each(tags)).key as key, (each(tags)).value as value
FROM osm_point) as tmp
WHERE (trim(value) !~ '^[-]*[0-9,.:\ ]+[m]*$')
AND NOT (value ILIKE '%fixme%' OR key ILIKE '%fixme%')
AND key NOT LIKE '%:%'
AND key NOT LIKE '%description%'
AND key NOT LIKE '%comment%'
AND key NOT LIKE '%name'
AND key NOT LIKE 'uic_%'
AND key NOT LIKE '%ref'
AND key NOT ILIKE '%fixme%'
AND key NOT ILIKE '%todo%'
AND key NOT IN ('name','operator','_picture_','_waypoint_','address','alt','is_in','url','website','wikipedia','email',
'converted_by','phone','information','opening_hours','date','time','collection_times','colour','fee',
'population','access','noexit','towards','bus_routes','busline','lines','type','denotation',
'CONTINUE','continue','copyright','stop')
GROUP BY tmp.key, tmp.value
-- HAVING COUNT(*) > 1
ORDER by key, freq DESC
