crankshaft/release/crankshaft--0.0.1.sql

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2016-02-23 00:39:58 +08:00
--DO NOT MODIFY THIS FILE, IT IS GENERATED AUTOMATICALLY FROM SOURCES
-- Complain if script is sourced in psql, rather than via CREATE EXTENSION
\echo Use "CREATE EXTENSION crankshaft" to load this file. \quit
-- Internal function.
-- Set the seeds of the RNGs (Random Number Generators)
-- used internally.
CREATE OR REPLACE FUNCTION
_cdb_random_seeds (seed_value INTEGER) RETURNS VOID
AS $$
from crankshaft import random_seeds
random_seeds.set_random_seeds(seed_value)
$$ LANGUAGE plpythonu;
-- Moran's I
CREATE OR REPLACE FUNCTION
cdb_moran_local (
t TEXT,
attr TEXT,
significance float DEFAULT 0.05,
num_ngbrs INT DEFAULT 5,
permutations INT DEFAULT 99,
geom_column TEXT DEFAULT 'the_geom',
id_col TEXT DEFAULT 'cartodb_id',
w_type TEXT DEFAULT 'knn')
RETURNS TABLE (moran FLOAT, quads TEXT, significance FLOAT, ids INT)
AS $$
from crankshaft.clustering import moran_local
# TODO: use named parameters or a dictionary
return moran_local(t, attr, significance, num_ngbrs, permutations, geom_column, id_col, w_type)
$$ LANGUAGE plpythonu;
-- Moran's I Local Rate
CREATE OR REPLACE FUNCTION
cdb_moran_local_rate(t TEXT,
numerator TEXT,
denominator TEXT,
significance FLOAT DEFAULT 0.05,
num_ngbrs INT DEFAULT 5,
permutations INT DEFAULT 99,
geom_column TEXT DEFAULT 'the_geom',
id_col TEXT DEFAULT 'cartodb_id',
w_type TEXT DEFAULT 'knn')
RETURNS TABLE(moran FLOAT, quads TEXT, significance FLOAT, ids INT, y numeric)
AS $$
from crankshaft.clustering import moran_local_rate
# TODO: use named parameters or a dictionary
return moran_local_rate(t, numerator, denominator, significance, num_ngbrs, permutations, geom_column, id_col, w_type)
$$ LANGUAGE plpythonu;
-- Function by Stuart Lynn for a simple interpolation of a value
-- from a polygon table over an arbitrary polygon
-- (weighted by the area proportion overlapped)
-- Aereal weighting is a very simple form of aereal interpolation.
--
-- Parameters:
-- * geom a Polygon geometry which defines the area where a value will be
-- estimated as the area-weighted sum of a given table/column
-- * target_table_name table name of the table that provides the values
-- * target_column column name of the column that provides the values
-- * schema_name optional parameter to defina the schema the target table
-- belongs to, which is necessary if its not in the search_path.
-- Note that target_table_name should never include the schema in it.
-- Return value:
-- Aereal-weighted interpolation of the column values over the geometry
CREATE OR REPLACE
FUNCTION cdb_overlap_sum(geom geometry, target_table_name text, target_column text, schema_name text DEFAULT NULL)
RETURNS numeric AS
$$
DECLARE
result numeric;
qualified_name text;
BEGIN
IF schema_name IS NULL THEN
qualified_name := Format('%I', target_table_name);
ELSE
qualified_name := Format('%I.%s', schema_name, target_table_name);
END IF;
EXECUTE Format('
SELECT sum(%I*ST_Area(St_Intersection($1, a.the_geom))/ST_Area(a.the_geom))
FROM %s AS a
WHERE $1 && a.the_geom
', target_column, qualified_name)
USING geom
INTO result;
RETURN result;
END;
$$ LANGUAGE plpgsql;
--
-- Creates N points randomly distributed arround the polygon
--
-- @param g - the geometry to be turned in to points
--
-- @param no_points - the number of points to generate
--
-- @params max_iter_per_point - the function generates points in the polygon's bounding box
-- and discards points which don't lie in the polygon. max_iter_per_point specifies how many
-- misses per point the funciton accepts before giving up.
--
-- Returns: Multipoint with the requested points
CREATE OR REPLACE FUNCTION cdb_dot_density(geom geometry , no_points Integer, max_iter_per_point Integer DEFAULT 1000)
RETURNS GEOMETRY AS $$
DECLARE
extent GEOMETRY;
test_point Geometry;
width NUMERIC;
height NUMERIC;
x0 NUMERIC;
y0 NUMERIC;
xp NUMERIC;
yp NUMERIC;
no_left INTEGER;
remaining_iterations INTEGER;
points GEOMETRY[];
bbox_line GEOMETRY;
intersection_line GEOMETRY;
BEGIN
extent := ST_Envelope(geom);
width := ST_XMax(extent) - ST_XMIN(extent);
height := ST_YMax(extent) - ST_YMIN(extent);
x0 := ST_XMin(extent);
y0 := ST_YMin(extent);
no_left := no_points;
LOOP
if(no_left=0) THEN
EXIT;
END IF;
yp = y0 + height*random();
bbox_line = ST_MakeLine(
ST_SetSRID(ST_MakePoint(yp, x0),4326),
ST_SetSRID(ST_MakePoint(yp, x0+width),4326)
);
intersection_line = ST_Intersection(bbox_line,geom);
test_point = ST_LineInterpolatePoint(st_makeline(st_linemerge(intersection_line)),random());
points := points || test_point;
no_left = no_left - 1 ;
END LOOP;
RETURN ST_Collect(points);
END;
$$
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LANGUAGE plpgsql VOLATILE;
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CREATE OR REPLACE FUNCTION
cdb_create_segment (
segment_name TEXT,
table_name TEXT,
column_name TEXT,
geoid_column TEXT DEFAULT 'geoid',
census_table TEXT DEFAULT 'block_groups'
)
RETURNS NUMERIC
AS $$
from crankshaft import segmentation
# TODO: use named parameters or a dictionary
return segmentation.create_segment(segment_name,table_name,column_name,geoid_column,census_table,'random_forest')
$$ LANGUAGE plpythonu;
CREATE OR REPLACE FUNCTION
cdb_predict_segment (
segment_name TEXT,
geoid_column TEXT DEFAULT 'geoid',
census_table TEXT DEFAULT 'block_groups'
)
RETURNS TABLE(geoid TEXT, prediction NUMERIC)
AS $$
from crankshaft.segmentation import create_segemnt
# TODO: use named parameters or a dictionary
return create_segment('table')
$$ LANGUAGE plpythonu;
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-- Make sure by default there are no permissions for publicuser
-- NOTE: this happens at extension creation time, as part of an implicit transaction.
-- REVOKE ALL PRIVILEGES ON SCHEMA cdb_crankshaft FROM PUBLIC, publicuser CASCADE;
-- Grant permissions on the schema to publicuser (but just the schema)
GRANT USAGE ON SCHEMA cdb_crankshaft TO publicuser;
-- Revoke execute permissions on all functions in the schema by default
-- REVOKE EXECUTE ON ALL FUNCTIONS IN SCHEMA cdb_crankshaft FROM PUBLIC, publicuser;