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brouter/misc/scripts/mapcreation/brouter.sql
afischerdev 4c824531a2 db scripts pushed to last state
2025-05-27 11:45:23 +02:00

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-- calculation of new tags (estimated_noise_class, estimated_river_class,estimated_forest_class, estimated_town_class, estimated_traffic_class)
-- formatted by https://sqlformat.darold.net/
SET client_encoding TO UTF8;
-- prepare the lines table with a new index and a new column
SELECT
now();
ANALYZE;
SELECT
now();
SELECT
osm_id,
highway,
maxspeed,
way,
waterway,
li.natural,
width,
oneway,
st_length (way) / st_length (ST_Transform (way, 4326)::geography) AS merca_coef INTO TABLE lines_bis
FROM
lines li;
SELECT
now();
DROP TABLE lines;
ALTER TABLE lines_bis RENAME TO lines;
CREATE INDEX lines_osm_id_idx ON lines (osm_id) WITH (fillfactor = '100');
CREATE INDEX lines_way_idx ON public.lines USING gist (way) WITH (fillfactor = '100');
ANALYZE lines;
-- generation of pseudo-tags
-- 1: noise
-- create a table with the segments producing noise (motorway, primary and secondary) and a noise_factor for each.
-- the noise_factor depends on the highway type, maxspeed and oneway
-- oneway is basically given on motorway segments, in some cases also on primary...
-- then 2 segments exist on the same route, so noise_factor per segment is lower!!!!
SELECT
now();
SELECT
osm_id::bigint,
highway,
maxspeed,
CASE WHEN maxspeed IS NULL
OR (NOT (maxspeed ~ '^\d+(\.\d+)?$'))
OR maxspeed::numeric > '105' THEN
-- maxspeed not defined OR not numeric / usable OR > 105 km/h
CASE WHEN highway IN ('motorway', 'motorway_link', 'trunk', 'trunk_link') THEN
0.6
WHEN highway IN ('primary', 'primary_link') THEN
CASE WHEN oneway IS NULL
OR oneway NOT IN ('yes', 'true', '1') THEN
0.66
ELSE
0.45
END
WHEN highway IN ('secondary') THEN
0.33
ELSE
0
END
WHEN maxspeed::numeric > '75' THEN
-- 75 < maxspeed <= 105
CASE WHEN highway IN ('motorway', 'motorway_link', 'trunk', 'trunk_link') THEN
0.55
WHEN highway IN ('primary', 'primary_link') THEN
CASE WHEN oneway IS NULL
OR oneway NOT IN ('yes', 'true', '1') THEN
0.66
ELSE
0.45
END
WHEN highway IN ('secondary') THEN
0.33
ELSE
0
END
ELSE
-- maxspeed <= 75
CASE WHEN highway IN ('motorway', 'motorway_link', 'trunk', 'trunk_link') THEN
0.4
WHEN highway IN ('primary', 'primary_link') THEN
CASE WHEN oneway IS NULL
OR oneway NOT IN ('yes', 'true', '1') THEN
0.4
ELSE
0.3
END
WHEN highway IN ('secondary') THEN
0.2
ELSE
0
END
END AS noise_factor,
way AS way,
ST_Buffer (way, 75 * merca_coef) AS way75,
merca_coef INTO TABLE noise_emittnew
FROM
lines li
WHERE
highway IS NOT NULL
AND highway IN ('motorway', 'motorway_link', 'trunk', 'trunk_link', 'primary', 'primary_link', 'secondary');
SELECT
now();
CREATE INDEX noise_emittnew_osm_id_idx ON noise_emittnew (osm_id) WITH (fillfactor = '100');
-- modify noise_factor by very small segments
SELECT
now();
UPDATE
noise_emittnew
SET
noise_factor = noise_factor * (st_length (way) / merca_coef) / 20
WHERE (st_length (way) / merca_coef) < 20;
SELECT
now();
ANALYZE noise_emittnew;
SELECT
now();
-- create a tuple (highway + noise source) of the highways having noise (for perf tuning)
SELECT
dd.osm_id::bigint AS lines_osm_id,
dd.highway,
dd.merca_coef,
dd.way,
q.osm_id AS noise_osm_id INTO TABLE tuples_with_noise
FROM
lines dd
INNER JOIN noise_emittnew AS q ON ST_Intersects (dd.way, q.way75)
WHERE
dd.highway IS NOT NULL
AND dd.highway NOT IN ('proposed', 'construction')
AND (st_length (dd.way) / dd.merca_coef) < 40000;
--group by dd.osm_id, dd.highway, dd.merca_coef, dd.way;
SELECT
now();
CREATE INDEX tuples_with_noise_osm_id_idx ON tuples_with_noise (lines_osm_id) WITH (fillfactor = '100');
SELECT
now();
ANALYZE tuples_with_noise;
SELECT
lines_osm_id AS osm_id,
way,
merca_coef INTO TABLE lines_with_noise
FROM
tuples_with_noise
GROUP BY
lines_osm_id,
merca_coef,
way;
SELECT
now();
CREATE INDEX lineswithnoise_osm_id_idx ON lines_with_noise (osm_id) WITH (fillfactor = '100');
ANALYZE lines_with_noise;
-- calculate noise using "lines_with_noise"
-- split each segment with noise into 20 meter sections and calculate the noise per section
-- the average giving the noise for the segment
SELECT
now();
WITH lines_split AS (
SELECT
osm_id,
merca_coef,
ST_LineSubstring (d.way, startfrac, LEAST (endfrac, 1)) AS way,
len / merca_coef AS lgt_seg_real
FROM (
SELECT
osm_id,
merca_coef,
way,
st_length (way) len,
(20 * merca_coef) sublen
FROM
lines_with_noise) AS d
CROSS JOIN LATERAL (
SELECT
i,
(sublen * i) / len AS startfrac,
(sublen * (i + 1)) / len AS endfrac
FROM
generate_series(0, floor(len / sublen)::integer) AS t (i)
-- skip last i if line length is exact multiple of sublen
WHERE (sublen * i) / len <> 1.0) AS d2
)
SELECT
m.osm_id::bigint losmid,
m.lgt_seg_real,
st_distance (m.way, t.way) / m.merca_coef AS dist,
-- the line below delivers the same result as above !!!!!!! but need much more time (* 7 !)
-- st_distance(st_transform(m.way, 4326)::geography, st_transform(t.way, 4326)::geography) as distgeog,
t.noise_factor INTO TABLE noise_tmp2newz
FROM
lines_split AS m
INNER JOIN tuples_with_noise AS q ON m.osm_id = q.lines_osm_id
INNER JOIN noise_emittnew t ON t.osm_id = q.noise_osm_id
WHERE
st_distance (m.way, t.way) / m.merca_coef < 75;
SELECT
now();
ANALYZE noise_tmp2newz;
-- group
SELECT
now();
-- calculate an indicator per section (1 / d*d here) and reduce the results by taking the average on the osm_segment
SELECT
losmid,
m.lgt_seg_real,
sum(noise_factor / ((dist + 15) / 15)) / ((m.lgt_seg_real / 20)::integer + 1) AS sum_noise_factor INTO noise_tmp2new
FROM
noise_tmp2newz m
GROUP BY
m.losmid,
m.lgt_seg_real;
SELECT
now();
DROP TABLE noise_tmp2newz;
DROP TABLE tuples_with_noise;
DROP TABLE noise_emittnew;
ANALYZE noise_tmp2new;
SELECT
now();
-- add noise from Airports...
-- polygons of the international airports
SELECT
name,
st_buffer (way, (700 * st_length (ST_Transform (st_makeline (st_startpoint (way), st_centroid (way)), 3857)) / st_length (ST_Transform (st_makeline (st_startpoint (way), st_centroid (way)), 4326)::geography))) AS way INTO TABLE poly_airportnew
FROM
polygons
WHERE
aeroway = 'aerodrome'
AND aerodrome = 'international';
SELECT
now();
ANALYZE poly_airportnew;
SELECT
m.osm_id::bigint losmid,
-- st_area(st_intersection(m.way, q.way)) / (st_area(m.way) * 1.5)
-- 1 / 1.5
(700 - (st_distance (m.way, q.way) / m.merca_coef)) / (700 * 1.5) AS dist_factor INTO TABLE noise_airportnew
FROM
lines AS m
INNER JOIN poly_airportnew AS q ON ST_intersects (m.way, q.way)
WHERE
m.highway IS NOT NULL
ORDER BY
dist_factor DESC;
SELECT
now();
ANALYZE noise_airportnew;
SELECT
losmid,
sum(noise_factor) AS sum_noise_factor INTO TABLE noise_tmp3new
FROM ((
SELECT
losmid,
sum_noise_factor AS noise_factor
FROM
noise_tmp2new AS nois1)
UNION (
SELECT
losmid,
dist_factor AS noise_factor
FROM
noise_airportnew AS nois2)) AS nois_sum
GROUP BY
losmid;
SELECT
now();
ANALYZE noise_tmp3new;
-- create the noise classes
SELECT
now();
SELECT
losmid,
CASE WHEN y.sum_noise_factor < 0.06 THEN
'1'
WHEN y.sum_noise_factor < 0.13 THEN
'2'
WHEN y.sum_noise_factor < 0.26 THEN
'3'
WHEN y.sum_noise_factor < 0.45 THEN
'4'
WHEN y.sum_noise_factor < 0.85 THEN
'5'
ELSE
'6'
END AS noise_class INTO TABLE noise_tags
FROM
noise_tmp3new y
WHERE
y.sum_noise_factor > 0.01
ORDER BY
noise_class;
SELECT
now();
ANALYZE noise_tags;
SELECT
count(*)
FROM
noise_tags;
SELECT
noise_class,
count(*)
FROM
noise_tags
GROUP BY
noise_class
ORDER BY
noise_class;
-------------------------------------------------------------------------
-- 2: create tags for river
-- create a table with the segments and polygons with "river" (or water!)
SELECT
now();
WITH river_from_polygons AS (
SELECT
osm_id::bigint,
way,
ST_Buffer (way, 110 * st_length (ST_Transform (st_makeline (st_startpoint (way), st_centroid (way)), 3857)) / st_length (ST_Transform (st_makeline (st_startpoint (way), st_centroid (way)), 4326)::geography)) AS way2
FROM
polygons q
WHERE
q.natural IN ('water', 'bay', 'beach', 'wetland')
AND (q.water IS NULL
OR q.water NOT IN ('wastewater'))
AND st_area (ST_Transform (q.way, 4326)::geography) BETWEEN 1000 AND 5000000000
),
river_from_lines AS (
SELECT
osm_id::bigint,
way,
ST_Buffer (way, 80 * merca_coef) AS way2
FROM
lines q
WHERE
q.waterway IN ('river', 'canal', 'fairway')
OR q.natural IN ('coastline')
ORDER BY
way
),
river_coastline AS (
SELECT
osm_id::bigint,
way,
ST_Buffer (ST_ExteriorRing (way), 100 * st_length (ST_Transform (st_makeline (st_startpoint (way), st_centroid (way)), 3857)) / st_length (ST_Transform (st_makeline (st_startpoint (way), st_centroid (way)), 4326)::geography)) AS way2
FROM
polygons p
WHERE
st_area (ST_Transform (p.way, 4326)::geography) > 1000
AND (p.natural IN ('coastline')
AND st_length (way) < 100000)
ORDER BY
way
)
SELECT
* INTO river_proxy
FROM (
SELECT
*
FROM
river_from_polygons part1
UNION
SELECT
*
FROM
river_from_lines part2
UNION
SELECT
*
FROM
river_coastline part3) AS sumriver;
SELECT
now();
CREATE INDEX river_proxy_osm_id_idx ON river_proxy (osm_id) WITH (fillfactor = '100');
ANALYZE river_proxy;
SELECT
now();
-- create a tuple (highway + noise source) of the highways in river proxymity (for perf tuning)
SELECT
dd.osm_id::bigint AS lines_osm_id,
dd.merca_coef,
dd.way,
q.osm_id AS river_osm_id INTO TABLE tuples_with_river
FROM
lines dd
INNER JOIN river_proxy AS q ON ST_Intersects (dd.way, q.way2)
WHERE
dd.highway IS NOT NULL
AND dd.highway NOT IN ('proposed', 'construction')
AND (st_length (dd.way) / dd.merca_coef) < 40000;
SELECT
now();
CREATE INDEX tuples_with_river_osm_id_idx ON tuples_with_river (lines_osm_id) WITH (fillfactor = '100');
SELECT
now();
ANALYZE tuples_with_river;
SELECT
now();
-- create a table of highways with river...
SELECT
lines_osm_id AS osm_id,
way,
merca_coef INTO TABLE lines_with_river
FROM
tuples_with_river
GROUP BY
lines_osm_id,
merca_coef,
way;
SELECT
now();
CREATE INDEX lineswithriver_osm_id_idx ON lines_with_river (osm_id) WITH (fillfactor = '100');
ANALYZE lines_with_river;
SELECT
now();
-- calculate river factor using "lines_with_river"
-- split each segment with river into 20 meter sections and calculate the river per section
-- the average giving the river_factor for the segment
WITH lines_split AS (
SELECT
osm_id,
merca_coef,
ST_LineSubstring (d.way, startfrac, LEAST (endfrac, 1)) AS way,
len / merca_coef AS lgt_seg_real
FROM (
SELECT
osm_id,
merca_coef,
way,
st_length (way) len,
(20 * merca_coef) sublen
FROM
lines_with_river) AS d
CROSS JOIN LATERAL (
SELECT
i,
(sublen * i) / len AS startfrac,
(sublen * (i + 1)) / len AS endfrac
FROM
generate_series(0, floor(len / sublen)::integer) AS t (i)
-- skip last i if line length is exact multiple of sublen
WHERE (sublen * i) / len <> 1.0) AS d2
)
SELECT
m.osm_id::bigint losmid,
m.lgt_seg_real,
st_distance (m.way, t.way) / m.merca_coef AS dist INTO TABLE river_tmp2newz
FROM
lines_split AS m
INNER JOIN tuples_with_river AS q ON m.osm_id = q.lines_osm_id
INNER JOIN river_proxy t ON t.osm_id = q.river_osm_id
WHERE
st_distance (m.way, t.way) / m.merca_coef < 165;
SELECT
now();
ANALYZE river_tmp2newz;
SELECT
now();
SELECT
losmid,
m.lgt_seg_real,
sum(1 / ((dist + 50) / 50)) / ((m.lgt_seg_real / 20)::integer + 1) AS sum_river_factor INTO river_tmp2new
FROM
river_tmp2newz m
GROUP BY
m.losmid,
m.lgt_seg_real;
SELECT
now();
DROP TABLE river_tmp2newz;
DROP TABLE tuples_with_river;
DROP TABLE river_proxy;
ANALYZE river_tmp2new;
SELECT
now();
SELECT
losmid,
CASE WHEN y.sum_river_factor < 0.22 THEN
'1'
WHEN y.sum_river_factor < 0.35 THEN
'2'
WHEN y.sum_river_factor < 0.5 THEN
'3'
WHEN y.sum_river_factor < 0.75 THEN
'4'
WHEN y.sum_river_factor < 0.98 THEN
'5'
ELSE
'6'
END AS river_class INTO TABLE river_tags
FROM
river_tmp2new y
WHERE
y.sum_river_factor > 0.03;
SELECT
now();
SELECT
count(*)
FROM
river_tags;
SELECT
river_class,
count(*)
FROM
river_tags
GROUP BY
river_class
ORDER BY
river_class;
SELECT
now();
-------------------------------------------------------------
-- create pseudo-tags for forest
--
-- create first a table of the polygons with forest
SELECT
now();
SELECT
osm_id::bigint,
leisure,
landuse,
p.natural,
p.water,
way,
ST_Buffer (way, 32.15 * st_length (ST_Transform (st_makeline (st_startpoint (way), st_centroid (way)), 3857)) / st_length (ST_Transform (st_makeline (st_startpoint (way), st_centroid (way)), 4326)::geography)) AS way32 INTO TABLE osm_poly_forest
FROM
polygons p
WHERE
st_area (ST_Transform (p.way, 4326)::geography) > 1500
AND ((p.landuse IN ('forest', 'allotments', 'flowerbed', 'orchard', 'vineyard', 'recreation_ground', 'village_green'))
OR p.leisure IN ('garden', 'park', 'nature_reserve'))
AND st_area (ST_Transform (p.way, 4326)::geography) BETWEEN 5000 AND 5000000000
ORDER BY
way;
SELECT
now();
CREATE INDEX osm_poly_forest_osm_id_idx ON osm_poly_forest (osm_id) WITH (fillfactor = '100');
SELECT
now();
ANALYZE osm_poly_forest;
-- create a table of the lines within forests (green_factor is nomally 1, but 5 is better to calculate class 6 )
SELECT
now();
SELECT
m.osm_id::bigint,
m.highway,
6 AS green_factor INTO TABLE lines_within_forest
FROM
lines AS m
INNER JOIN osm_poly_forest q ON ST_Within (m.way, q.way)
WHERE
m.highway IS NOT NULL
GROUP BY
m.osm_id,
m.highway,
m.way;
CREATE INDEX lines_within_forest_osm_id_idx ON lines_within_forest (osm_id) WITH (fillfactor = '100');
SELECT
now();
ANALYZE lines_within_forest;
-- create a tuple table (lines+polygons) of the lines near but not within forests
SELECT
m.osm_id::bigint AS lines_osm_id,
m.highway,
m.merca_coef,
m.way AS lines_way,
q.osm_id AS forest_osm_id INTO TABLE tuples_limit_forest
FROM
lines AS m
INNER JOIN osm_poly_forest AS q ON ST_Intersects (m.way, q.way32)
WHERE
m.highway IS NOT NULL
AND m.highway NOT IN ('proposed', 'construction')
AND (st_length (m.way) / m.merca_coef) < 40000
AND m.osm_id::bigint NOT IN (
SELECT
osm_id
FROM
lines_within_forest);
SELECT
now();
CREATE INDEX tuples_lines_osm_id_idx ON tuples_limit_forest (lines_osm_id) WITH (fillfactor = '100');
SELECT
now();
ANALYZE tuples_limit_forest;
SELECT
now();
-- create a table with only the lines near but not within forests
SELECT
m.lines_osm_id osm_id,
m.highway,
m.merca_coef,
m.lines_way AS way INTO TABLE lines_limit_forest
FROM
tuples_limit_forest AS m
GROUP BY
m.lines_osm_id,
m.highway,
m.merca_coef,
m.lines_way;
SELECT
now();
CREATE INDEX lines_limit_forest_osm_id_idx ON lines_limit_forest (osm_id) WITH (fillfactor = '100');
SELECT
now();
ANALYZE lines_limit_forest;
-- calculate the forest factor (or green_factor) for the lines at forest limit..
-- spilt the line into 20 meter sections
-- calculate the distance section-forest
SELECT
now();
WITH lines_split AS (
SELECT
osm_id,
highway,
merca_coef,
ST_LineSubstring (d.way, startfrac, LEAST (endfrac, 1)) AS way,
len / merca_coef AS lgt_seg_real
FROM (
SELECT
osm_id,
highway,
merca_coef,
way,
st_length (way) len,
(20 * merca_coef) sublen
FROM
lines_limit_forest) AS d
CROSS JOIN LATERAL (
SELECT
i,
(sublen * i) / len AS startfrac,
(sublen * (i + 1)) / len AS endfrac
FROM
generate_series(0, floor(len / sublen)::integer) AS t (i)
-- skip last i if line length is exact multiple of sublen
WHERE (sublen * i) / len <> 1.0) AS d2
)
SELECT
m.osm_id,
lgt_seg_real,
st_distance (m.way, t.way) / m.merca_coef AS dist INTO TABLE forest_tmp2newz
FROM
lines_split AS m
INNER JOIN tuples_limit_forest AS q ON m.osm_id = q.lines_osm_id
INNER JOIN osm_poly_forest t ON t.osm_id = q.forest_osm_id
WHERE
st_distance (m.way, t.way) / m.merca_coef < 65;
SELECT
now();
ANALYZE forest_tmp2newz;
SELECT
now();
SELECT
m.osm_id,
m.lgt_seg_real,
sum(1 / ((dist + 25) / 25)) / ((m.lgt_seg_real / 20)::integer + 1) AS green_factor INTO forest_tmp2new
FROM
forest_tmp2newz m
GROUP BY
m.osm_id,
m.lgt_seg_real;
SELECT
now();
ANALYZE forest_tmp2new;
DROP TABLE forest_tmp2newz;
DROP TABLE osm_poly_forest;
DROP TABLE tuples_limit_forest;
SELECT
now();
-- merge lines_within_forest with lines_limit_forest
WITH forest_tmp3new AS (
SELECT
*
FROM (
SELECT
osm_id,
green_factor
FROM
forest_tmp2new AS part1
UNION
SELECT
osm_id,
green_factor
FROM
lines_within_forest) AS part2
)
SELECT
y.osm_id losmid,
CASE WHEN y.green_factor < 0.32 THEN
'1'
WHEN y.green_factor < 0.5 THEN
'2'
WHEN y.green_factor < 0.7 THEN
'3'
WHEN y.green_factor < 0.92 THEN
'4'
WHEN y.green_factor < 5 THEN
'5'
ELSE
'6'
END AS forest_class INTO TABLE forest_tags
FROM
forest_tmp3new y
WHERE
y.green_factor > 0.1;
ANALYZE forest_tags;
SELECT
count(*)
FROM
forest_tags;
SELECT
forest_class,
count(*)
FROM
forest_tags
GROUP BY
forest_class
ORDER BY
forest_class;
SELECT
now();
CREATE OR REPLACE FUNCTION isnumeric (string text)
RETURNS bool
AS $$
BEGIN
PERFORM
string::numeric;
RETURN TRUE;
EXCEPTION
WHEN invalid_text_representation THEN
RETURN FALSE;
END;
$$
LANGUAGE plpgsql
SECURITY INVOKER;
SELECT
now();
-- create tables for traffic
SELECT
osm_id,
highway,
way,
ST_Expand (way, 9645 * st_length (ST_Transform (way, 3857)) / st_length (ST_Transform (way, 4326)::geography)) way2,
ST_Centroid (way) way0,
st_length (ST_Transform (way, 3857)) / st_length (ST_Transform (way, 4326)::geography) AS merca_coef INTO TABLE primsecter15k
FROM
lines
WHERE
highway IN ('primary', 'primary_link', 'secondary', 'secondary_link', 'tertiary');
CREATE INDEX primsecter15k_idx2 ON public.primsecter15k USING gist (way2) WITH (fillfactor = '100');
CREATE INDEX primsecter15k_idx1 ON public.primsecter15k USING gist (way) WITH (fillfactor = '100');
CREATE INDEX primsecter15k_idx0 ON public.primsecter15k USING gist (way0) WITH (fillfactor = '100');
ANALYZE primsecter15k;
SELECT
now();
-- consistency check on population, first evaluate and documents it
WITH cities_x AS (
SELECT
a.name,
a.name_en,
place,
osm_id,
replace(a.population, '.', '')::bigint population,
a.way
FROM
cities a
WHERE
a.population IS NOT NULL
AND isnumeric (a.population)
AND a.place IN ('village', 'town', 'city', 'municipality'))
SELECT
name,
name_en,
place,
population,
osm_id
FROM
cities_x a
WHERE (place = 'village'
AND a.population > 90000)
OR (place = 'town'
AND a.population > 1500000)
OR (place = 'city'
AND a.population > 40000000)
ORDER BY
place,
Population DESC;
WITH cities_relx AS (
SELECT
a.name,
a.name_en,
place,
osm_id,
replace(a.population, '.', '')::bigint population,
a.way
FROM
cities_rel a
WHERE
a.population IS NOT NULL
AND isnumeric (a.population)
AND a.place IN ('village', 'town', 'city', 'municipality'))
SELECT
name,
name_en,
place,
population,
osm_id
FROM
cities_relx a
WHERE (place = 'village'
AND a.population > 90000)
OR (place = 'town'
AND a.population > 1500000)
OR (place = 'city'
AND a.population > 40000000)
OR (place IS NULL
AND a.population > 40000000)
ORDER BY
place,
Population DESC;
-- now store the inconstencies
WITH cities_x AS (
SELECT
a.name,
a.name_en,
place,
osm_id,
replace(a.population, '.', '')::bigint population,
a.way
FROM
cities a
WHERE
a.population IS NOT NULL
AND isnumeric (a.population)
AND a.place IN ('village', 'town', 'city', 'municipality'))
SELECT
name,
name_en,
place,
population,
osm_id INTO TABLE cities_incon
FROM
cities_x a
WHERE (place = 'village'
AND a.population > 90000)
OR (place = 'town'
AND a.population > 1500000)
OR (place = 'city'
AND a.population > 40000000)
ORDER BY
place,
Population DESC;
WITH cities_relx AS (
SELECT
a.name,
a.name_en,
place,
osm_id,
replace(a.population, '.', '')::bigint population,
a.way
FROM
cities_rel a
WHERE
a.population IS NOT NULL
AND isnumeric (a.population)
AND a.place IN ('village', 'town', 'city', 'municipality'))
SELECT
name,
name_en,
place,
population,
osm_id INTO TABLE cities_rel_incon
FROM
cities_relx a
WHERE (place = 'village'
AND a.population > 90000)
OR (place = 'town'
AND a.population > 1500000)
OR (place = 'city'
AND a.population > 40000000)
OR (place IS NULL
AND a.population > 40000000)
ORDER BY
place,
Population DESC;
-- and eliminate the inconsistencies
UPDATE
cities
SET
population = 0
WHERE
osm_id IN (
SELECT
osm_id
FROM
cities_incon);
UPDATE
cities_rel
SET
population = 0
WHERE
osm_id IN (
SELECT
osm_id
FROM
cities_rel_incon);
SELECT
now();
-- create a new "town" table based on cities_rel (with a valid/numeric population) AND fetch by need the population from the cities table)
-- clean the cities table (when population is null or population is not numeric or unusable)
SELECT
a.name,
a.name_en,
replace(a.population, '.', '')::bigint population,
a.way INTO TABLE cities_ok
FROM
cities a
WHERE
a.population IS NOT NULL
AND isnumeric (a.population)
AND a.place IN ('village', 'town', 'city', 'municipality');
ANALYZE cities_ok;
SELECT
now();
-- clean the cities_rel table (when population is not numeric or unusable)
SELECT
a.name AS name,
a.name_en AS name_en,
a.place AS place,
a.admin_level,
CASE WHEN a.population IS NOT NULL
AND isnumeric (a.population) THEN
a.population::numeric
ELSE
NULL
END AS population,
a.way INTO TABLE cities_rel_ok
FROM
cities_rel a
WHERE
boundary IN ('administrative', 'ceremonial');
CREATE INDEX cities_ok_idx ON public.cities_ok USING gist (way) WITH (fillfactor = '100');
CREATE INDEX cities_rel_ok_idx ON public.cities_rel_ok USING gist (way) WITH (fillfactor = '100');
SELECT
now();
ANALYZE cities_rel_ok;
-- select town + population + way starting with cities_ok .... (to catch specials cases as ex. "Berlin" which is tagged with "admin_level=4")
--
SELECT
a.name AS name,
a.name_en AS name_en,
st_x (a.way),
st_y (a.way),
a.population,
CASE
-- limit 1 is is necessary because some osm data are inconsistent (==> 2 relations with the name " Krynki" and quite same x/y)
WHEN (
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level = '8'
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1) IS NOT NULL THEN
(
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level = '8'
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1)
-- Australia admin_level=7
WHEN (
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level = '7'
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1) IS NOT NULL THEN
(
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level = '7'
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1)
-- Paris admin_level=6 (old !)
WHEN (
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level = '6'
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1) IS NOT NULL THEN
(
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level = '6'
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1)
-- Bengkulu admin_level=5!
WHEN (
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level = '5'
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1) IS NOT NULL THEN
(
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level = '5'
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1)
-- Berlin admin_level=4! , but Beijing/Shangai administrative-regions have the same name and area>20000 km*2 !!!
WHEN (
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level = '4'
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1) IS NOT NULL THEN
(
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level = '4'
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1)
-- London admin_level is null
WHEN (
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level IS NULL
AND b.place IN ('town', 'city', 'village', 'municipality')
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1) IS NOT NULL THEN
(
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level IS NULL
AND b.place IN ('town', 'city', 'village', 'municipality')
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1)
-- Singapore admin_level is 2, place=city in cities_rel
WHEN (
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level = '2'
AND b.place IN ('town', 'city', 'village', 'municipality')
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1) IS NOT NULL THEN
(
SELECT
way
FROM
cities_rel_ok b
WHERE (st_area (b.way) / 1000000 < 10000
AND b.admin_level = '2'
AND b.place IN ('town', 'city', 'village', 'municipality')
AND a.name = b.name
AND st_intersects (a.way, b.way))
LIMIT 1)
-- Αθήνα No DATA at all...
-- possible solution ????? no, better null!
-- else st_buffer(way, (10 *sqrt(a.population)))
-- else null
-- at least the "traffic" can be estimated (not "town)
ELSE
st_buffer (a.way, 10)
END AS way,
a.way AS way0 INTO cities_intermed3
FROM
cities_ok a
ORDER BY
name;
CREATE INDEX cities_intermed3_idx ON public. cities_intermed3 USING gist (way) WITH (fillfactor = '100');
SELECT
now();
ANALYZE cities_intermed3;
-- select town + population + way starting with cities_rel_ok ....
SELECT
a.name AS name,
a.name_en AS name_en,
st_area (a.way) st_area,
CASE WHEN a.population IS NOT NULL THEN
a.population
-- "max" is necessary because some osm data are inconsistent (==> 2 nodes with the name Titisee-Neustadt and quite same x/y)
ELSE
(
SELECT
max(population)
FROM
cities_intermed3 b
WHERE (a.name = b.name
AND st_intersects (a.way, b.way)))
END AS population,
a.way,
NULL::geometry AS way0 INTO cities_intermed4
FROM
cities_rel_ok a
WHERE
a.admin_level = '8'
AND (a.place IS NULL
OR a.place IN ('town', 'city', 'village', 'municipality'))
ORDER BY
a.name;
SELECT
now();
-- merge
WITH intermed5 AS (
SELECT
name,
max(name_en) AS name_en,
max(population) AS population,
way,
max(way0) AS way0,
st_length (ST_Transform (st_makeline (st_startpoint (way), st_centroid (way)), 3857)) / st_length (ST_Transform (st_makeline (st_startpoint (way), st_centroid (way)), 4326)::geography) AS merca_coef
FROM ((
SELECT
name,
name_en,
population,
way,
way0
FROM
cities_intermed3)
UNION (
SELECT
name,
name_en,
population,
way,
way0
FROM
cities_intermed4)) a
WHERE
population IS NOT NULL
GROUP BY
name,
way
ORDER BY
population
)
SELECT
name,
name_en,
population,
way,
CASE WHEN way0 IS NULL THEN
st_centroid (way)::geometry
ELSE
way0::geometry
END AS way0,
merca_coef INTO TABLE cities_all
FROM (
SELECT
*
FROM
intermed5 a) b;
SELECT
now();
ANALYZE cities_all;
-------------------------------------------
-- create tags for TRAFFIC
-----------------------------------------
-- OSM data used to calculate/estimate the traffic:
-- population of towns (+ distance from position to the towns)
-- industrial& retail areas (landuse=industrial/retail) (consider surface of the areas and distance from position)
-- airports international
-- motorway density (traffic on motorways decreases traffic on primary/secondary/tertiary) calculated on grid
-- highway density (traffic decreases when more primary/secondary/tertiary highways are available) calculated on grid
-- exceptions: near junctions between motorways and primary/secondary/tertiary the traffic increases on the primary/secondary/tertiary..
-- mountain-ranges (high peaks) traffic is generally on highways in such regions higher as only generated by local population or industrial areas
-- calculate traffic from the population (for each segment of type primary secondary tertiary)
-- SUM of (population of each town < 100 km) / ( town-radius + 2500 + dist(segment-position to the town) ** 2 )
-- town-radius is calculated as sqrt(population)
SELECT
now();
SELECT
m.osm_id losmid,
m.highway lhighway,
CASE WHEN m.highway = 'tertiary' THEN
sum(10000 * q.population::numeric / power(((8 * sqrt(q.population::numeric)) + 500 + ((ST_Distance (m.way0, q.way0) * 50) / (q.merca_coef * 32.15))), 2) * 0.4)
WHEN m.highway IN ('secondary', 'secondary_link') THEN
sum(10000 * q.population::numeric / power(((8 * sqrt(q.population::numeric)) + 500 + ((ST_Distance (m.way0, q.way0) * 50) / (q.merca_coef * 32.15))), 2) * 0.6)
ELSE
sum(10000 * q.population::numeric / power(((8 * sqrt(q.population::numeric)) + 500 + ((ST_Distance (m.way0, q.way0) * 50) / (q.merca_coef * 32.15))), 2))
END AS populate_factor INTO TABLE traffic_tmp
FROM
primsecter15k AS m
INNER JOIN cities_all AS q ON ST_DWithin (m.way0, q.way0, ((3215 * q.merca_coef) + ((64300 * q.merca_coef) * q.population / (q.population + 10000))))
WHERE
m.highway IS NOT NULL
AND q.population > 200
GROUP BY
m.osm_id,
m.highway,
m.way
ORDER BY
populate_factor;
SELECT
now();
ANALYZE traffic_tmp;
-- prepare some special tables
-- the intersections motorway_link with primary/secondary/tertiary deliver the motorway acccesses....
SELECT
* INTO TABLE lines_link
FROM
lines
WHERE
highway IN ('motorway_link', 'trunk_link');
SELECT
m.osm_id losmid,
m.highway,
m.way,
ST_Expand (m.way, 643 * st_length (ST_Transform (m.way, 3857)) / st_length (ST_Transform (m.way, 4326)::geography)) way2,
ST_Expand (m.way, 1286 * st_length (ST_Transform (m.way, 3857)) / st_length (ST_Transform (m.way, 4326)::geography)) way3,
st_length (ST_Transform (m.way, 3857)) / st_length (ST_Transform (m.way, 4326)::geography) AS merca_coef INTO TABLE motorway_access
FROM
lines AS m
INNER JOIN lines_link AS q ON ST_Intersects (m.way, q.way)
WHERE
m.highway IN ('primary', 'secondary', 'tertiary')
GROUP BY
m.osm_id,
m.highway,
m.way;
SELECT
now();
CREATE INDEX motorway_access_idx2 ON public.motorway_access USING gist (way2) WITH (fillfactor = '100');
SELECT
now();
CREATE INDEX motorway_access_idx3 ON public.motorway_access USING gist (way3) WITH (fillfactor = '100');
SELECT
now();
ANALYZE motorway_access;
-- find out all the primary/secondary/tertiary within 1000 m and 2000 m from a motorway access
SELECT
now();
SELECT
m.osm_id losmid,
sum(st_length (q.way) / (6430 * q.merca_coef)) motorway_factor INTO TABLE motorway_access_1000
FROM
lines AS m
INNER JOIN motorway_access AS q ON ST_Intersects (m.way, q.way2)
WHERE
m.highway IN ('primary', 'primary_link', 'secondary', 'secondary_link', 'tertiary')
GROUP BY
m.osm_id,
m.way
ORDER BY
motorway_factor;
SELECT
now();
SELECT
m.osm_id losmid,
sum(st_length (q.way) / (6430 * q.merca_coef)) motorway_factor INTO TABLE motorway_access_2000
FROM
lines AS m
INNER JOIN motorway_access AS q ON ST_Intersects (m.way, q.way3)
WHERE
m.highway IN ('primary', 'primary_link', 'secondary', 'secondary_link', 'tertiary')
GROUP BY
m.osm_id,
m.way
ORDER BY
motorway_factor;
SELECT
now();
ANALYZE motorway_access_2000;
--
-- special regions: mountain_range with "peaks" ==> few highways ==> higher traffic !!!
-- calculate the "peak_density"
SELECT
now();
SELECT
m.osm_id losmid,
count(q.*) AS peak_cnt,
sum(q.ele::decimal) peak_sum_ele INTO TABLE peak_density
FROM
primsecter15k AS m
INNER JOIN peak AS q ON ST_Intersects (m.way2, q.way)
WHERE (q.ele ~ '^[0-9\.]+$')
AND q.ele::decimal > 400
-- where (q.ele not ~ '^\d+(\.\d+)?$') and q.ele :: decimal > 400
GROUP BY
m.osm_id,
m.way
ORDER BY
peak_cnt DESC;
SELECT
now();
--
-- traffic due to industrial or retail areas ... (exceptions/not considered: solar & wind parks!)
-- traffic due to aerodromes
--
SELECT
now();
SELECT
name,
way,
st_length (ST_Transform (st_makeline (st_startpoint (way), st_centroid (way)), 3857)) / st_length (ST_Transform (st_makeline (st_startpoint (way), st_centroid (way)), 4326)::geography) AS merca_coef INTO TABLE poly_industri
FROM
polygons
WHERE (landuse IN ('industrial', 'retail'))
OR (aeroway = 'aerodrome'
AND aerodrome = 'international')
AND (plant_method IS NULL
OR plant_method NOT IN ('photovoltaic'))
AND (plant_source IS NULL
OR plant_source NOT IN ('solar', 'wind'));
SELECT
now();
ANALYZE poly_industri;
SELECT
name,
way,
ST_Centroid (way) way0,
ST_Buffer (way, 12860 * merca_coef) AS way2,
st_area (way) * power(50 / (32.15 * merca_coef), 2) areaReal,
merca_coef INTO industri
FROM
poly_industri
WHERE
st_area (way) * power(50 / (32.15 * merca_coef), 2) > 20000;
SELECT
now();
SELECT
m.osm_id losmid,
m.highway lhighway,
CASE WHEN m.highway = 'tertiary' THEN
sum(areaReal / power((sqrt(areaReal) + 500 + (ST_Distance (m.way0, q.way0) * 50) / (32.15 * q.merca_coef)), 2) * 0.6)
WHEN m.highway IN ('secondary', 'secondary_link') THEN
sum(areaReal / power((sqrt(areaReal) + 500 + (ST_Distance (m.way0, q.way0) * 50) / (32.15 * q.merca_coef)), 2) * 0.8)
ELSE
sum(areaReal / power((sqrt(areaReal) + 500 + (ST_Distance (m.way0, q.way0) * 50) / (32.15 * q.merca_coef)), 2))
END AS industrial_factor INTO industri_tmp
FROM
primsecter15k AS m
INNER JOIN industri AS q ON ST_intersects (m.way0, q.way2)
GROUP BY
m.osm_id,
m.highway,
m.way
ORDER BY
industrial_factor;
SELECT
now();
-- create a grid to allow a fast calculation for highway_density and motorway_density
CREATE OR REPLACE FUNCTION generate_grid (bound_polygon geometry, grid_step integer, srid integer DEFAULT 2180)
RETURNS TABLE (
id bigint,
geom geometry)
LANGUAGE plpgsql
AS $function$
DECLARE
Xmin int;
Xmax int;
Ymax int;
Ymin int;
query_text text;
BEGIN
Xmin := floor(ST_XMin (bound_polygon));
Xmax := ceil(ST_XMax (bound_polygon));
Ymin := floor(ST_YMin (bound_polygon));
Ymax := ceil(ST_YMax (bound_polygon));
query_text := 'select row_number() over() id, st_makeenvelope(s1, s2, s1+$5, s2+$5, $6) geom
from generate_series($1, $2+$5, $5) s1, generate_series ($3, $4+$5, $5) s2';
RETURN QUERY EXECUTE query_text
USING Xmin, Xmax, Ymin, Ymax, grid_step, srid;
END;
$function$;
CREATE TABLE grid1 AS
SELECT
id,
geom
FROM
generate_grid((ST_GeomFromText('POLYGON((0 9000000, 18000000 9000000, 18000000 -9000000, 0 -9000000, 0 9000000))')),10000,3857);
CREATE TABLE grid2 AS
SELECT
id,
geom
FROM
generate_grid((ST_GeomFromText('POLYGON((0 9000000, -18000000 9000000, -18000000 -9000000, 0 -9000000, 0 9000000))')), 10000, 3857);
SELECT
geom INTO TABLE grid
FROM ((
SELECT
geom
FROM
grid1)
UNION (
SELECT
geom
FROM
grid2)) a;
-- GRID HIGHWAY_DENSITY
SELECT
now();
SELECT
sum(st_length (q.way) / (6430 * (st_length (ST_Transform (q.way, 3857)) / st_length (ST_Transform (q.way, 4326)::geography)))) highway_factor,
m.geom way INTO TABLE grid_highway_density
FROM
lines AS q
INNER JOIN grid AS m ON ST_Intersects (q.way, m.geom)
WHERE
q.highway IN ('primary', 'primary_link', 'secondary', 'secondary_link', 'tertiary')
GROUP BY
m.geom
ORDER BY
highway_factor;
SELECT
now();
-- GRID MOTORWAY_DENSITY
SELECT
now();
SELECT
sum(st_length (q.way) / (6430 * (st_length (ST_Transform (q.way, 3857)) / st_length (ST_Transform (q.way, 4326)::geography)))) motorway_factor,
m.geom way INTO TABLE grid_motorway_density
FROM
lines AS q
INNER JOIN grid AS m ON ST_Intersects (q.way, m.geom)
WHERE
q.highway IN ('motorway', 'motorway_link', 'trunk', 'trunk_link')
GROUP BY
m.geom
ORDER BY
motorway_factor;
SELECT
now();
-- CREATE INDEX grid_idx ON public.grid USING gist (geom) WITH (fillfactor='100');
CREATE INDEX grid_hwd_idx ON public.grid_highway_density USING gist (way) WITH (fillfactor = '100');
CREATE INDEX grid_mwd_idx ON public.grid_motorway_density USING gist (way) WITH (fillfactor = '100');
-- collect all exceptions on 1 table
SELECT
now();
SELECT
y.osm_id losmid,
CASE WHEN q.motorway_factor IS NULL THEN
0
ELSE
q.motorway_factor
END AS motorway_factor,
CASE WHEN x.peak_sum_ele IS NULL THEN
0
WHEN x.peak_sum_ele > 500000 THEN
4
ELSE
x.peak_sum_ele / 125000
END AS peak_sum_ele,
CASE WHEN z.highway_factor IS NULL THEN
0
ELSE
z.highway_factor
END AS highway_factor,
CASE WHEN w.industrial_factor IS NULL THEN
0
WHEN w.industrial_factor > 1 THEN
(1500 * 50)
ELSE
(w.industrial_factor * 1500 * 50)
END AS industrial_factor INTO TABLE except_all_tmp
FROM
lines y
LEFT OUTER JOIN grid_motorway_density AS q ON st_dwithin (q.way, y.way, 5500)
LEFT OUTER JOIN peak_density AS x ON y.osm_id = x.losmid
LEFT OUTER JOIN industri_tmp AS w ON y.osm_id = w.losmid
LEFT OUTER JOIN grid_highway_density AS z ON st_dwithin (z.way, y.way, 5500)
WHERE
y.highway IN ('primary', 'primary_link', 'secondary', 'secondary_link', 'tertiary');
SELECT
now();
SELECT
losmid,
peak_sum_ele,
avg(highway_factor) highway_factor,
avg(motorway_factor) motorway_factor,
industrial_factor INTO TABLE except_all
FROM
except_all_tmp
GROUP BY
losmid,
peak_sum_ele,
industrial_factor;
SELECT
now();
-- Do not apply the positiv effect of "motorway density" in proximity of motorway accesses!!!!
UPDATE
except_all
SET
motorway_factor = 0
WHERE
losmid IN (
SELECT
losmid
FROM
motorway_access_2000);
-- quite direct at motorway accesses set a negativ effect !!!!
UPDATE
except_all
SET
motorway_factor = -15
WHERE
losmid IN (
SELECT
losmid
FROM
motorway_access_1000);
SELECT
now();
-- class calculation with modifications using peaks, motorway_density and highway_density...
--
SELECT
y.losmid::bigint,
CASE WHEN ((y.populate_factor * 1200 * (1 + q.peak_sum_ele)) + q.industrial_factor) / ((30 + q.motorway_factor) * (50 + q.highway_factor)) < 6 THEN
'1'
WHEN ((y.populate_factor * 1200 * (1 + q.peak_sum_ele)) + q.industrial_factor) / ((30 + q.motorway_factor) * (50 + q.highway_factor)) < 10 THEN
'2'
WHEN ((y.populate_factor * 1200 * (1 + q.peak_sum_ele)) + q.industrial_factor) / ((30 + q.motorway_factor) * (50 + q.highway_factor)) < 19 THEN
'3'
WHEN ((y.populate_factor * 1200 * (1 + q.peak_sum_ele)) + q.industrial_factor) / ((30 + q.motorway_factor) * (50 + q.highway_factor)) < 35 THEN
'4'
WHEN ((y.populate_factor * 1200 * (1 + q.peak_sum_ele)) + q.industrial_factor) / ((30 + q.motorway_factor) * (50 + q.highway_factor)) < 70 THEN
'5'
ELSE
'6'
END AS traffic_class INTO TABLE traffic_tags
FROM
traffic_tmp y
LEFT OUTER JOIN except_all AS q ON y.losmid = q.losmid
ORDER BY
traffic_class DESC;
SELECT
now();
--statistics
SELECT
traffic_class,
count(losmid) cnt
FROM
traffic_tags
GROUP BY
traffic_class
ORDER BY
traffic_class;
-- create town tags.................
-- create "town" tags
-- get the highways within the town
SELECT
m.osm_id losmid,
m.highway lhighway,
CASE WHEN q.population::decimal > '2000000' THEN
1
WHEN q.population::decimal > '1000000' THEN
0.8
WHEN q.population::decimal > '400000' THEN
0.6
WHEN q.population::decimal > '150000' THEN
0.4
WHEN q.population::decimal > '80000' THEN
0.2
ELSE
0.1
END AS town_factor INTO TABLE town_tmp
FROM
lines AS m
INNER JOIN cities_all AS q ON ST_Within (m.way, q.way)
WHERE
m.highway IS NOT NULL
AND q.population > '50000'
ORDER BY
town_factor DESC;
SELECT
now();
ANALYSE town_tmp;
--
SELECT
losmid::bigint,
CASE WHEN y.town_factor = 0.1 THEN
'1'
WHEN y.town_factor = 0.2 THEN
'2'
WHEN y.town_factor = 0.4 THEN
'3'
WHEN y.town_factor = 0.6 THEN
'4'
WHEN y.town_factor = 0.8 THEN
'5'
ELSE
'6'
END AS town_class INTO TABLE town_tags
FROM (
SELECT
losmid,
max(town_factor) AS town_factor
FROM
town_tmp y
GROUP BY
losmid) y;
ANALYSE town_tags;
SELECT
count(*)
FROM
town_tags;
SELECT
town_class,
count(*)
FROM
town_tags
GROUP BY
town_class
ORDER BY
town_class;
--
-- substract the ways from town with a green tag (because administrative surface are some times too large)
--
DELETE FROM town_tags
WHERE losmid IN (
SELECT
losmid
FROM
forest_tags
WHERE
forest_class NOT IN ('1'));
DELETE FROM town_tags
WHERE losmid IN (
SELECT
losmid
FROM
river_tags
WHERE
river_class NOT IN ('1'));
SELECT
count(*)
FROM
town_tags;
SELECT
town_class,
count(*)
FROM
town_tags
GROUP BY
town_class
ORDER BY
town_class;
SELECT
now();
--
-- put all tags together in 1 table (1 "direct" access per way in mapcreator)
--
SELECT
losmid::bigint AS losmid,
noise_class,
river_class,
forest_class,
town_class,
traffic_class INTO TABLE all_tags
FROM
river_tags
NATURAL
FULL OUTER JOIN noise_tags
NATURAL
FULL OUTER JOIN forest_tags
NATURAL
FULL OUTER JOIN town_tags
NATURAL
FULL OUTER JOIN traffic_tags
ORDER BY
losmid;
CREATE INDEX all_tags_ind ON all_tags (losmid, noise_class, river_class, forest_class, town_class, traffic_class) WITH (fillfactor = '100');
ANALYSE all_tags;
SELECT
now();
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