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use sq km, do not filter by bounds, add segment function

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This commit is contained in:
John Krauss 2016-04-11 17:54:47 -04:00
parent e4eaa44c2d
commit 5d9571a954
3 changed files with 214 additions and 3 deletions
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1
src/pg/sql/40_observatory_utility.sql
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@ -23,7 +23,6 @@ BEGIN
AND coltable.column_id = col.id
AND coltable.table_id = tab.id
AND col.id = $1
AND ST_Intersects($2, ST_SetSRID(bounds::box2d::geometry, 4326))
)
'
USING geometry_id, geom

216
src/pg/sql/41_observatory_augmentation.sql
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@ -156,7 +156,7 @@ CREATE OR REPLACE FUNCTION OBS_GetCensus(
time_span text DEFAULT '2009 - 2013',
geometry_level text DEFAULT '"us.census.tiger".census_tract'
)
RETURNS TABLE(dimension text, dimension_value numeric)
RETURNS TABLE(dimension text[], dimension_value numeric[])
AS $$
DECLARE
ids text[];
@ -250,7 +250,7 @@ BEGIN
INTO geoid;
EXECUTE
format('SELECT ST_Area(the_geom::geography)
format('SELECT ST_Area(the_geom::geography) / (1000 * 1000)
FROM observatory.%I
WHERE geoid = %L',
geom_table_name,
@ -354,3 +354,215 @@ BEGIN
RETURN result;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION OBS_GetSegmentSnapshot(
geom geometry,
geometry_level text DEFAULT '"us.census.tiger".census_tract'
)
RETURNS TABLE(
segment_name TEXT,
total_pop_quantile Numeric,
male_pop_quantile Numeric,
female_pop_quantile Numeric,
median_age_quantile Numeric,
white_pop_quantile Numeric,
black_pop_quantile Numeric,
asian_pop_quantile Numeric,
hispanic_pop_quantile Numeric,
not_us_citizen_pop_quantile Numeric,
workers_16_and_over_quantile Numeric,
commuters_by_car_truck_van_quantile Numeric,
commuters_by_public_transportation_quantile Numeric,
commuters_by_bus_quantile Numeric,
commuters_by_subway_or_elevated_quantile Numeric,
walked_to_work_quantile Numeric,
worked_at_home_quantile Numeric,
children_quantile Numeric,
households_quantile Numeric,
population_3_years_over_quantile Numeric,
in_school_quantile Numeric,
in_grades_1_to_4_quantile Numeric,
in_grades_5_to_8_quantile Numeric,
in_grades_9_to_12_quantile Numeric,
in_undergrad_college_quantile Numeric,
pop_25_years_over_quantile Numeric,
high_school_diploma_quantile Numeric,
bachelors_degree_quantile Numeric,
masters_degree_quantile Numeric,
pop_5_years_over_quantile Numeric,
speak_only_english_at_home_quantile Numeric,
speak_spanish_at_home_quantile Numeric,
pop_determined_poverty_status_quantile Numeric,
poverty_quantile Numeric,
median_income_quantile Numeric,
gini_index_quantile Numeric,
income_per_capita_quantile Numeric,
housing_units_quantile Numeric,
vacant_housing_units_quantile Numeric,
vacant_housing_units_for_rent_quantile Numeric,
vacant_housing_units_for_sale_quantile Numeric,
median_rent_quantile Numeric,
percent_income_spent_on_rent_quantile Numeric,
owner_occupied_housing_units_quantile Numeric,
million_dollar_housing_units_quantile Numeric
) AS $$
DECLARE
target_cols text[];
seg_name Text;
geom_id Text;
q Text;
BEGIN
target_cols := Array[
'"us.census.acs"."us.census.acs".B01001001_quantile',
'"us.census.acs"."us.census.acs".B01001002_quantile',
'"us.census.acs"."us.census.acs".B01001026_quantile',
'"us.census.acs"."us.census.acs".B01002001_quantile',
'"us.census.acs"."us.census.acs".B03002003_quantile',
'"us.census.acs"."us.census.acs".B03002004_quantile',
'"us.census.acs"."us.census.acs".B03002006_quantile',
'"us.census.acs"."us.census.acs".B03002012_quantile',
'"us.census.acs"."us.census.acs".B05001006_quantile',
'"us.census.acs"."us.census.acs".B08006001_quantile',
'"us.census.acs"."us.census.acs".B08006002_quantile',
'"us.census.acs"."us.census.acs".B08006008_quantile',
'"us.census.acs"."us.census.acs".B08006009_quantile',
'"us.census.acs"."us.census.acs".B08006011_quantile',
'"us.census.acs"."us.census.acs".B08006015_quantile',
'"us.census.acs"."us.census.acs".B08006017_quantile',
'"us.census.acs"."us.census.acs".B09001001_quantile',
'"us.census.acs"."us.census.acs".B11001001_quantile',
'"us.census.acs"."us.census.acs".B14001001_quantile',
'"us.census.acs"."us.census.acs".B14001002_quantile',
'"us.census.acs"."us.census.acs".B14001005_quantile',
'"us.census.acs"."us.census.acs".B14001006_quantile',
'"us.census.acs"."us.census.acs".B14001007_quantile',
'"us.census.acs"."us.census.acs".B14001008_quantile',
'"us.census.acs"."us.census.acs".B15003001_quantile',
'"us.census.acs"."us.census.acs".B15003017_quantile',
'"us.census.acs"."us.census.acs".B15003022_quantile',
'"us.census.acs"."us.census.acs".B15003023_quantile',
'"us.census.acs"."us.census.acs".B16001001_quantile',
'"us.census.acs"."us.census.acs".B16001002_quantile',
'"us.census.acs"."us.census.acs".B16001003_quantile',
'"us.census.acs"."us.census.acs".B17001001_quantile',
'"us.census.acs"."us.census.acs".B17001002_quantile',
'"us.census.acs"."us.census.acs".B19013001_quantile',
'"us.census.acs"."us.census.acs".B19083001_quantile',
'"us.census.acs"."us.census.acs".B19301001_quantile',
'"us.census.acs"."us.census.acs".B25001001_quantile',
'"us.census.acs"."us.census.acs".B25002003_quantile',
'"us.census.acs"."us.census.acs".B25004002_quantile',
'"us.census.acs"."us.census.acs".B25004004_quantile',
'"us.census.acs"."us.census.acs".B25058001_quantile',
'"us.census.acs"."us.census.acs".B25071001_quantile',
'"us.census.acs"."us.census.acs".B25075001_quantile',
'"us.census.acs"."us.census.acs".B25075025_quantile'
];
EXECUTE
$query$
select (categories)[1]
from OBS_GetCategories($1,Array['"us.census.spielman_singleton_segments".X10'])
limit 1
$query$
INTO segment_name
USING geom;
q =
format( $query$
WITH a As (
SELECT
names As names,
vals As vals
FROM OBS_Get($1,
$2,
'2009 - 2013',
$3)
), percentiles as (
%s
FROM a)
select $4, percentiles.*
from percentiles
$query$, OBS_BuildSnapshotQuery(target_cols) );
RETURN QUERY
EXECUTE
q
USING geom, target_cols, geometry_level, segment_name ;
END $$ LANGUAGE plpgsql ;
--Get categorical variables from point
CREATE OR REPLACE FUNCTION OBS_GetCategories(
geom geometry,
dimension_names text[],
geometry_level text DEFAULT '"us.census.tiger".census_tract',
time_span text DEFAULT '2009 - 2013'
)
returns TABLE(names text[], categories text[]) as $$
DECLARE
geom_table_name text;
geoid text;
names text[];
results text[];
query text;
data_table_info OBS_ColumnData[];
BEGIN
geom_table_name := OBS_GeomTable(geom, geometry_level);
IF geom_table_name IS NULL
THEN
RAISE EXCEPTION 'Point % is outside of the data region', geom;
END IF;
data_table_info := OBS_GetColumnData(geometry_level,
dimension_names,
time_span);
names := (SELECT array_agg((d).colname)
FROM unnest(data_table_info) As d);
EXECUTE
format('SELECT geoid
FROM observatory.%I
WHERE the_geom && $1',
geom_table_name)
USING geom
INTO geoid;
query := 'SELECT ARRAY[';
FOR i IN 1..array_upper(data_table_info, 1)
LOOP
query = query || format('%I ', lower(((data_table_info)[i]).colname));
IF i < array_upper(data_table_info, 1)
THEN
query = query || ',';
END IF;
END LOOP;
query = query || format(' ]
FROM observatory.%I
WHERE %I.geoid = %L
',
((data_table_info)[1]).tablename,
((data_table_info)[1]).tablename,
geoid
);
EXECUTE
query
INTO results
USING geom;
RETURN QUERY
select names,results
RETURN;
END
$$ LANGUAGE plpgsql;

0
src/pg/sql/42_observatory_exploration.sql
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