Allow for target_geoms and target_area override on column-by-column basis
This commit is contained in:
@@ -261,3 +261,31 @@ t|t
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ary_type|obs_getdata_api_geomrefs_args_string_return
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t|t
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(1 row)
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setseed
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(1 row)
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bg_sample|bg_max_error|bg_avg_error|bg_min_error
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3|t|t|t
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5|t|t|t
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10|t|t|t
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25|t|t|t
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50|t|t|t
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100|t|t|t
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2085|t|t|t
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(9 rows)
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tract_sample|tract_max_error|tract_avg_error|tract_min_error
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2|t|t|t
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3|t|t|t
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5|t|t|t
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10|t|t|t
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25|t|t|t
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50|t|t|t
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100|t|t|t
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761|t|t|t
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(9 rows)
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no_bg_point_error
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t
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(1 row)
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@@ -159,21 +159,36 @@ t
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_obs_geometryscores_2500km_buffer
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t
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(1 row)
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_obs_geometryscores_numgeoms_500m_buffer
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t
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(1 row)
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_obs_geometryscores_numgeoms_5km_buffer
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t
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(1 row)
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_obs_geometryscores_numgeoms_50km_buffer
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t
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(1 row)
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_obs_geometryscores_numgeoms_500km_buffer
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t
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(1 row)
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_obs_geometryscores_numgeoms_2500km_buffer
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t
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(1 row)
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column_id|_obs_geometryscores_numgeoms_500m_buffer
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us.census.tiger.block_group|2
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us.census.tiger.census_tract|1
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us.census.tiger.zcta5|0
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us.census.tiger.county|0
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(4 rows)
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column_id|_obs_geometryscores_numgeoms_5km_buffer
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us.census.tiger.block_group|244
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us.census.tiger.census_tract|78
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us.census.tiger.zcta5|9
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us.census.tiger.county|0
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(4 rows)
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column_id|_obs_geometryscores_numgeoms_50km_buffer
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us.census.tiger.block_group|10817
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us.census.tiger.census_tract|3396
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us.census.tiger.zcta5|484
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us.census.tiger.county|11
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(4 rows)
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column_id|_obs_geometryscores_numgeoms_500km_buffer
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us.census.tiger.block_group|48567
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us.census.tiger.census_tract|15823
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us.census.tiger.zcta5|6466
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us.census.tiger.county|295
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(4 rows)
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column_id|_obs_geometryscores_numgeoms_2500km_buffer
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us.census.tiger.block_group|165852
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us.census.tiger.census_tract|55283
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us.census.tiger.zcta5|27046
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us.census.tiger.county|2551
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(4 rows)
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_obs_geometryscores_500km_buffer_50_geoms
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t
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(1 row)
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@@ -186,6 +201,12 @@ t
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_obs_geometryscores_500km_buffer_25000_geoms
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t
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(1 row)
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testarea_uses_tract
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t
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(1 row)
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points_use_bg
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t
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(1 row)
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_total_pop_in_legacy_builder_metadata
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t
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(1 row)
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+859
-867
File diff suppressed because one or more lines are too long
@@ -798,3 +798,146 @@ SELECT json_typeof(data->0->'value') = 'array' ary_type,
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AS OBS_GetData_API_geomrefs_args_string_return
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FROM cdb_observatory.obs_getdata(array['36047'],
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'[{"numer_type": "text", "numer_colname": "obs_getboundarybyid", "api_method": "obs_getboundarybyid", "api_args": ["us.census.tiger.county"]}]');
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-- Ensure consistent results below.
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select setseed(0);
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-- Check that random assortment of block groups in Brooklyn return accurate data
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WITH _geoms AS (
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SELECT
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(data->0->>'value')::geometry the_geom,
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data->0->>'geomref' geom_ref,
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(data->1->>'value')::numeric total_pop
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FROM cdb_observatory.OBS_GetData(
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array[(st_buffer(cdb_observatory._testpoint(), 0.2), 1)::geomval],
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(SELECT cdb_observatory.OBS_GetMeta(ST_MakeEnvelope(-179, 89, 179, -89, 4326),
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'[{"geom_id": "us.census.tiger.block_group"},
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{"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.block_group", "normalization": "predenom"}]')),
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FALSE
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)
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WHERE data->0->>'geomref' LIKE '36047%'
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ORDER BY RANDOM()
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), geoms AS (
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SELECT *, row_number() OVER () cartodb_id FROM _geoms
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), samples AS (
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SELECT COUNT(*) cnt, unnest(ARRAY[1, 2, 3, 5, 10, 25, 50, 100, COUNT(*)]) sample FROM geoms
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), filtered AS (
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SELECT * FROM geoms, samples WHERE cartodb_id % (cnt / sample) = 0
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), summary AS (
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SELECT sample, ST_SetSRID(ST_Extent(the_geom), 4326) extent,
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COUNT(*)::INT cnt,
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ARRAY_AGG((the_geom, cartodb_id)::geomval) geomvals,
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SUM(ST_Area(the_geom))::Numeric sumarea
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FROM filtered
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GROUP BY sample
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), meta AS (
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SELECT sample, cdb_observatory.OBS_GetMeta(extent,
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('[{"numer_id": "us.census.acs.B01003001", "normalization": "predenom", "target_area": ' || sumarea || '}]')::JSON,
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1, 1, cnt) meta
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FROM summary
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GROUP BY sample, extent, cnt, sumarea
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), results AS (
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SELECT summary.sample, id, meta->0->>'geom_id' geom_id, (data->0->>'value')::Numeric as val
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FROM summary, meta, LATERAL cdb_observatory.OBS_GetData(geomvals, meta) data
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WHERE summary.sample = meta.sample
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) SELECT sample bg_sample
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, MAX(100 * abs((geoms.total_pop - val) / Coalesce(NullIf(total_pop, 0), NULL)))::Numeric(10, 2) < 10 bg_max_error
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, AVG(100 * abs((geoms.total_pop - val) / Coalesce(NullIf(total_pop, 0), NULL)))::Numeric(10, 2) < 10 bg_avg_error
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, MIN(100 * abs((geoms.total_pop - val) / Coalesce(NullIf(total_pop, 0), NULL)))::Numeric(10, 2) < 10 bg_min_error
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FROM geoms, results
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WHERE cartodb_id = id
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GROUP BY sample
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ORDER BY sample
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;
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-- Check that random assortment of tracts in Brooklyn return accurate data
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WITH _geoms AS (
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SELECT
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(data->0->>'value')::geometry the_geom,
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data->0->>'geomref' geom_ref,
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(data->1->>'value')::numeric total_pop
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FROM cdb_observatory.OBS_GetData(
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array[(st_buffer(cdb_observatory._testpoint(), 0.2), 1)::geomval],
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(SELECT cdb_observatory.OBS_GetMeta(ST_MakeEnvelope(-179, 89, 179, -89, 4326),
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'[{"geom_id": "us.census.tiger.census_tract"},
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{"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.census_tract", "normalization": "predenom"}]')),
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FALSE
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)
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WHERE data->0->>'geomref' LIKE '36047%'
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ORDER BY RANDOM()
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), geoms AS (
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SELECT *, row_number() OVER () cartodb_id FROM _geoms
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), samples AS (
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SELECT COUNT(*) cnt, unnest(ARRAY[1, 2, 3, 5, 10, 25, 50, 100, COUNT(*)]) sample FROM geoms
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), filtered AS (
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SELECT * FROM geoms, samples WHERE cartodb_id % (cnt / sample) = 0
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), summary AS (
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SELECT sample, ST_SetSRID(ST_Extent(the_geom), 4326) extent,
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COUNT(*)::INT cnt,
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ARRAY_AGG((the_geom, cartodb_id)::geomval) geomvals,
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SUM(ST_Area(the_geom))::Numeric sumarea
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FROM filtered
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GROUP BY sample
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), meta AS (
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SELECT sample, cdb_observatory.OBS_GetMeta(extent,
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('[{"numer_id": "us.census.acs.B01003001", "normalization": "predenom", "target_area": ' || sumarea || '}]')::JSON,
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1, 1, cnt) meta
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FROM summary
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GROUP BY sample, extent, cnt, sumarea
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), results AS (
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SELECT summary.sample, id, meta->0->>'geom_id' geom_id, (data->0->>'value')::Numeric as val
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FROM summary, meta, LATERAL cdb_observatory.OBS_GetData(geomvals, meta) data
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WHERE summary.sample = meta.sample
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) SELECT sample tract_sample
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, MAX(100 * abs((geoms.total_pop - val) / Coalesce(NullIf(total_pop, 0), NULL)))::Numeric(10, 2) < 10 tract_max_error
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, AVG(100 * abs((geoms.total_pop - val) / Coalesce(NullIf(total_pop, 0), NULL)))::Numeric(10, 2) < 10 tract_avg_error
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, MIN(100 * abs((geoms.total_pop - val) / Coalesce(NullIf(total_pop, 0), NULL)))::Numeric(10, 2) < 10 tract_min_error
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FROM geoms, results
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WHERE cartodb_id = id
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GROUP BY sample
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ORDER BY sample
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;
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-- Check that random assortment of block group points in Brooklyn return accurate data
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WITH _geoms AS (
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SELECT
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ST_PointOnSurface((data->0->>'value')::geometry) the_geom,
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data->0->>'geomref' geom_ref,
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(data->1->>'value')::numeric total_pop
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FROM cdb_observatory.OBS_GetData(
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array[(st_buffer(cdb_observatory._testpoint(), 0.2), 1)::geomval],
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(SELECT cdb_observatory.OBS_GetMeta(ST_MakeEnvelope(-179, 89, 179, -89, 4326),
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'[{"geom_id": "us.census.tiger.block_group"},
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{"numer_id": "us.census.acs.B01003001", "geom_id": "us.census.tiger.block_group", "normalization": "predenom"}]')),
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FALSE
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)
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WHERE data->0->>'geomref' LIKE '36047%'
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), geoms AS (
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SELECT *, row_number() OVER () cartodb_id FROM _geoms
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), samples AS (
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SELECT COUNT(*) cnt, unnest(ARRAY[1, 2, 3, 5, 10, 25, 50, 100, COUNT(*)]) sample FROM geoms
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), filtered AS (
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SELECT * FROM geoms, samples WHERE cartodb_id % (cnt / sample) = 0
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), summary AS (
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SELECT sample, ST_SetSRID(ST_Extent(the_geom), 4326) extent,
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COUNT(*)::INT cnt,
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ARRAY_AGG((the_geom, cartodb_id)::geomval) geomvals,
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SUM(ST_Area(the_geom))::Numeric sumarea
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FROM filtered
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GROUP BY sample
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), meta AS (
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SELECT sample, cdb_observatory.OBS_GetMeta(extent,
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('[{"numer_id": "us.census.acs.B01003001", "normalization": "predenom", "target_area": ' || sumarea || '}]')::JSON,
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1, 1, cnt) meta
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FROM summary
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GROUP BY sample, extent, cnt, sumarea
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), results AS (
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SELECT summary.sample, id, meta->0->>'geom_id' geom_id, (data->0->>'value')::Numeric as val
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FROM summary, meta, LATERAL cdb_observatory.OBS_GetData(geomvals, meta) data
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WHERE summary.sample = meta.sample
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) SELECT
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BOOL_AND(abs((geoms.total_pop - val) /
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Coalesce(NullIf(total_pop, 0), 1)) = 0) is True no_bg_point_error
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FROM geoms, results
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WHERE cartodb_id = id
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;
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@@ -360,9 +360,9 @@ SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
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'us.census.tiger.county', 'us.census.tiger.zcta5'])
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WHERE table_id LIKE '%2015%';
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SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
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ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
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'us.census.tiger.zcta5', 'us.census.tiger.county']
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SELECT ARRAY_AGG(column_id ORDER BY score DESC)
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= ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
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'us.census.tiger.county', 'us.census.tiger.zcta5']
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AS _obs_geometryscores_5km_buffer
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FROM cdb_observatory._OBS_GetGeometryScores(
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ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 5000)::Geometry(Geometry, 4326),
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@@ -390,60 +390,55 @@ SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
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'us.census.tiger.zcta5', 'us.census.tiger.county'])
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WHERE table_id LIKE '%2015%';
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SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
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ARRAY['us.census.tiger.county', 'us.census.tiger.zcta5',
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'us.census.tiger.census_tract', 'us.census.tiger.block_group']
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SELECT ARRAY_AGG(column_id ORDER BY score DESC)
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= ARRAY['us.census.tiger.county', 'us.census.tiger.census_tract',
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'us.census.tiger.zcta5', 'us.census.tiger.block_group']
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AS _obs_geometryscores_2500km_buffer
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FROM cdb_observatory._OBS_GetGeometryScores(
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ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 2500000)::Geometry(Geometry, 4326),
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ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
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'us.census.tiger.zcta5', 'us.census.tiger.county'])
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ARRAY['us.census.tiger.county', 'us.census.tiger.census_tract',
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'us.census.tiger.zcta5', 'us.census.tiger.block_group'])
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WHERE table_id LIKE '%2015%';
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SELECT JSON_Object_Agg(column_id, numgeoms::int ORDER BY numgeoms DESC)::Text
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= '{ "us.census.tiger.block_group" : 9, "us.census.tiger.census_tract" : 3, "us.census.tiger.zcta5" : 0, "us.census.tiger.county" : 0 }'
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AS _obs_geometryscores_numgeoms_500m_buffer
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SELECT column_id, numgeoms::int AS _obs_geometryscores_numgeoms_500m_buffer
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FROM cdb_observatory._OBS_GetGeometryScores(
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ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 500)::Geometry(Geometry, 4326),
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ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
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'us.census.tiger.zcta5', 'us.census.tiger.county'])
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WHERE table_id LIKE '%2015%';
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WHERE table_id LIKE '%2015%'
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ORDER BY numgeoms DESC;
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SELECT JSON_Object_Agg(column_id, numgeoms::int ORDER BY numgeoms DESC)::Text =
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'{ "us.census.tiger.block_group" : 880, "us.census.tiger.census_tract" : 310, "us.census.tiger.zcta5" : 45, "us.census.tiger.county" : 1 }'
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AS _obs_geometryscores_numgeoms_5km_buffer
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SELECT column_id, numgeoms::int AS _obs_geometryscores_numgeoms_5km_buffer
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FROM cdb_observatory._OBS_GetGeometryScores(
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ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 5000)::Geometry(Geometry, 4326),
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ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
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'us.census.tiger.zcta5', 'us.census.tiger.county'])
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WHERE table_id LIKE '%2015%';
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WHERE table_id LIKE '%2015%'
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ORDER BY numgeoms DESC;
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SELECT JSON_Object_Agg(column_id, numgeoms::int ORDER BY numgeoms DESC)::Text =
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'{ "us.census.tiger.block_group" : 11531, "us.census.tiger.census_tract" : 3601, "us.census.tiger.zcta5" : 550, "us.census.tiger.county" : 14 }'
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AS _obs_geometryscores_numgeoms_50km_buffer
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SELECT column_id, numgeoms::int AS _obs_geometryscores_numgeoms_50km_buffer
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FROM cdb_observatory._OBS_GetGeometryScores(
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ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 50000)::Geometry(Geometry, 4326),
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ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
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'us.census.tiger.zcta5', 'us.census.tiger.county'])
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WHERE table_id LIKE '%2015%';
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WHERE table_id LIKE '%2015%'
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ORDER BY numgeoms DESC;
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SELECT JSON_Object_Agg(column_id, numgeoms::int ORDER BY numgeoms DESC)::Text =
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'{ "us.census.tiger.block_group" : 48917, "us.census.tiger.census_tract" : 15969, "us.census.tiger.zcta5" : 6534, "us.census.tiger.county" : 314 }'
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AS _obs_geometryscores_numgeoms_500km_buffer
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SELECT column_id, numgeoms::int AS _obs_geometryscores_numgeoms_500km_buffer
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FROM cdb_observatory._OBS_GetGeometryScores(
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ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 500000)::Geometry(Geometry, 4326),
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ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
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'us.census.tiger.zcta5', 'us.census.tiger.county'])
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WHERE table_id LIKE '%2015%';
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WHERE table_id LIKE '%2015%'
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ORDER BY numgeoms DESC;
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SELECT JSON_Object_Agg(column_id, numgeoms::int ORDER BY numgeoms DESC)::Text =
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'{ "us.census.tiger.block_group" : 169191, "us.census.tiger.census_tract" : 56469, "us.census.tiger.zcta5" : 26525, "us.census.tiger.county" : 2753 }'
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AS _obs_geometryscores_numgeoms_2500km_buffer
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SELECT column_id, numgeoms::int AS _obs_geometryscores_numgeoms_2500km_buffer
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FROM cdb_observatory._OBS_GetGeometryScores(
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ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 2500000)::Geometry(Geometry, 4326),
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ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
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'us.census.tiger.zcta5', 'us.census.tiger.county'])
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WHERE table_id LIKE '%2015%';
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WHERE table_id LIKE '%2015%'
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ORDER BY numgeoms DESC;
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SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
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ARRAY['us.census.tiger.county', 'us.census.tiger.zcta5',
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@@ -475,9 +470,9 @@ SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
|
||||
'us.census.tiger.zcta5', 'us.census.tiger.county'], 2500)
|
||||
WHERE table_id LIKE '%2015%';
|
||||
|
||||
SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
|
||||
ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
|
||||
'us.census.tiger.zcta5', 'us.census.tiger.county']
|
||||
SELECT ARRAY_AGG(column_id ORDER BY score DESC)
|
||||
= ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
|
||||
'us.census.tiger.county', 'us.census.tiger.zcta5']
|
||||
AS _obs_geometryscores_500km_buffer_25000_geoms
|
||||
FROM cdb_observatory._OBS_GetGeometryScores(
|
||||
ST_Buffer(ST_SetSRID(ST_MakePoint(-73.9, 40.7), 4326)::Geography, 50000)::Geometry(Geometry, 4326),
|
||||
@@ -485,6 +480,44 @@ SELECT ARRAY_AGG(column_id ORDER BY score DESC) =
|
||||
'us.census.tiger.zcta5', 'us.census.tiger.county'], 25000)
|
||||
WHERE table_id LIKE '%2015%';
|
||||
|
||||
-- Check that one small geom approximates tract data
|
||||
WITH geoms AS (SELECT cdb_observatory._testarea() the_geom),
|
||||
summary AS (SELECT ST_SetSRID(ST_Extent(the_geom), 4326) extent,
|
||||
COUNT(*)::INT cnt,
|
||||
SUM(ST_Area(the_geom))::Numeric sumarea
|
||||
FROM geoms)
|
||||
SELECT column_id = 'us.census.tiger.census_tract' testarea_uses_tract
|
||||
FROM summary, LATERAL (
|
||||
SELECT *
|
||||
FROM cdb_observatory._OBS_GetGeometryScores(extent,
|
||||
ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
|
||||
'us.census.tiger.zcta5', 'us.census.tiger.county'],
|
||||
cnt, sumarea)) foo
|
||||
ORDER BY score DESC LIMIT 1;
|
||||
|
||||
-- Check that randomly distributed points always use smallest geometry if we
|
||||
-- order by numgeoms desc
|
||||
WITH geoms as (SELECT UNNEST(ARRAY[
|
||||
cdb_observatory._testpoint(),
|
||||
st_translate(cdb_observatory._testpoint(), -0.003, 0),
|
||||
st_translate(cdb_observatory._testpoint(), -0.006, 0)
|
||||
]) the_geom),
|
||||
summary as (SELECT
|
||||
ST_SetSRID(ST_Extent(the_geom), 4326) extent,
|
||||
SUM(ST_Area(the_geom))::Numeric area,
|
||||
COUNT(*)::INTEGER cnt
|
||||
FROM geoms
|
||||
)
|
||||
SELECT column_id = 'us.census.tiger.block_group' points_use_bg
|
||||
FROM summary, LATERAL (
|
||||
SELECT * FROM cdb_observatory._OBS_GetGeometryScores(
|
||||
extent,
|
||||
ARRAY['us.census.tiger.block_group', 'us.census.tiger.census_tract',
|
||||
'us.census.tiger.zcta5', 'us.census.tiger.county'],
|
||||
cnt, area)) foo
|
||||
WHERE table_id LIKE '%2015%'
|
||||
ORDER BY numgeoms DESC LIMIT 1;
|
||||
|
||||
--
|
||||
-- OBS_LegacyBuilderMetadata tests
|
||||
--
|
||||
|
||||
Reference in New Issue
Block a user