changed name of functions for observatory
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@ -1,6 +1,6 @@
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-- Moran's I (global)
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CREATE OR REPLACE FUNCTION
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cdb_moran (
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CDB_AreasOfInterest_Global (
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subquery TEXT,
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attr_name TEXT,
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permutations INT DEFAULT 99,
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@ -17,7 +17,7 @@ $$ LANGUAGE plpythonu;
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-- Moran's I Local
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CREATE OR REPLACE FUNCTION
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cdb_moran_local (
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CDB_AreasOfInterest_Local(
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subquery TEXT,
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attr TEXT,
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permutations INT DEFAULT 99,
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@ -34,7 +34,7 @@ $$ LANGUAGE plpythonu;
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-- Moran's I Rate (global)
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CREATE OR REPLACE FUNCTION
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cdb_moran_rate (
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CDB_AreasOfInterest_Global_Rate(
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subquery TEXT,
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numerator TEXT,
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denominator TEXT,
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@ -53,7 +53,7 @@ $$ LANGUAGE plpythonu;
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-- Moran's I Local Rate
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CREATE OR REPLACE FUNCTION
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cdb_moran_local_rate(
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CDB_AreasOfInterest_Local_Rate(
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subquery TEXT,
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numerator TEXT,
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denominator TEXT,
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@ -86,4 +86,4 @@ $$ LANGUAGE plpythonu;
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-- from crankshaft.clustering import moran_local_bv
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-- # TODO: use named parameters or a dictionary
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-- return moran_local_bv(t, attr1, attr2, permutations, geom_col, id_col, w_type, num_ngbrs)
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-- $$ LANGUAGE plpythonu;
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-- $$ LANGUAGE plpythonu;
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@ -110,7 +110,7 @@ INSERT INTO ppoints2 VALUES
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(24,'0101000020E61000009C5F91C5095C17C0C78784B15A4F4540'::geometry,'24','07',0.3, 1.0),
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(29,'0101000020E6100000C34D4A5B48E712C092E680892C684240'::geometry,'29','01',0.3, 1.0),
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(52,'0101000020E6100000406A545EB29A07C04E5F0BDA39A54140'::geometry,'52','19',0.0, 1.01)
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-- Moral functions perform some nondeterministic computations
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-- Areas of Interest functions perform some nondeterministic computations
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-- (to estimate the significance); we will set the seeds for the RNGs
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-- that affect those results to have repeateble results
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SELECT cdb_crankshaft._cdb_random_seeds(1234);
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@ -121,15 +121,15 @@ SELECT cdb_crankshaft._cdb_random_seeds(1234);
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SELECT ppoints.code, m.quads
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FROM ppoints
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JOIN cdb_crankshaft.cdb_moran_local('SELECT * FROM ppoints', 'value') m
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JOIN cdb_crankshaft.CDB_AreasOfInterest_Local('SELECT * FROM ppoints', 'value') m
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ON ppoints.cartodb_id = m.ids
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ORDER BY ppoints.code;
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NOTICE: ** Constructing query
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CONTEXT: PL/Python function "cdb_moran_local"
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CONTEXT: PL/Python function "cdb_areasofinterest_local"
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NOTICE: ** Query returned with 52 rows
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CONTEXT: PL/Python function "cdb_moran_local"
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CONTEXT: PL/Python function "cdb_areasofinterest_local"
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NOTICE: ** Finished calculations
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CONTEXT: PL/Python function "cdb_moran_local"
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CONTEXT: PL/Python function "cdb_areasofinterest_local"
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code | quads
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------+-------
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01 | HH
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@ -194,15 +194,15 @@ SELECT cdb_crankshaft._cdb_random_seeds(1234);
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SELECT ppoints2.code, m.quads
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FROM ppoints2
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JOIN cdb_crankshaft.cdb_moran_local_rate('SELECT * FROM ppoints2', 'numerator', 'denominator') m
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JOIN cdb_crankshaft.CDB_AreasOfInterest_Local_Rate('SELECT * FROM ppoints2', 'numerator', 'denominator') m
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ON ppoints2.cartodb_id = m.ids
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ORDER BY ppoints2.code;
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NOTICE: ** Constructing query
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CONTEXT: PL/Python function "cdb_moran_local_rate"
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CONTEXT: PL/Python function "cdb_areasofinterest_local_rate"
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NOTICE: ** Query returned with 51 rows
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CONTEXT: PL/Python function "cdb_moran_local_rate"
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CONTEXT: PL/Python function "cdb_areasofinterest_local_rate"
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NOTICE: ** Finished calculations
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CONTEXT: PL/Python function "cdb_moran_local_rate"
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CONTEXT: PL/Python function "cdb_areasofinterest_local_rate"
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code | quads
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------+-------
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01 | LL
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@ -1,14 +1,14 @@
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\i test/fixtures/ppoints.sql
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\i test/fixtures/ppoints2.sql
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-- Moral functions perform some nondeterministic computations
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-- Areas of Interest functions perform some nondeterministic computations
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-- (to estimate the significance); we will set the seeds for the RNGs
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-- that affect those results to have repeateble results
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SELECT cdb_crankshaft._cdb_random_seeds(1234);
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SELECT ppoints.code, m.quads
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FROM ppoints
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JOIN cdb_crankshaft.cdb_moran_local('SELECT * FROM ppoints', 'value') m
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JOIN cdb_crankshaft.CDB_AreasOfInterest_Local('SELECT * FROM ppoints', 'value') m
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ON ppoints.cartodb_id = m.ids
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ORDER BY ppoints.code;
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@ -16,6 +16,6 @@ SELECT cdb_crankshaft._cdb_random_seeds(1234);
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SELECT ppoints2.code, m.quads
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FROM ppoints2
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JOIN cdb_crankshaft.cdb_moran_local_rate('SELECT * FROM ppoints2', 'numerator', 'denominator') m
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JOIN cdb_crankshaft.CDB_AreasOfInterest_Local_Rate('SELECT * FROM ppoints2', 'numerator', 'denominator') m
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ON ppoints2.cartodb_id = m.ids
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ORDER BY ppoints2.code;
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@ -9,7 +9,7 @@ SET search_path TO public,cartodb,cdb_crankshaft;
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-- Exercise public functions
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SELECT ppoints.code, m.quads
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FROM ppoints
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JOIN cdb_moran_local('ppoints', 'value') m
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JOIN CDB_AreasOfInterest_Local('ppoints', 'value') m
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ON ppoints.cartodb_id = m.ids
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ORDER BY ppoints.code;
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SELECT round(cdb_overlap_sum(
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@ -14,6 +14,7 @@ import plpy
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def moran(subquery, attr_name, permutations, geom_col, id_col, w_type, num_ngbrs):
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"""
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Moran's I (global)
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Implementation building neighors with a PostGIS database and Moran's I core clusters with PySAL.
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Andy Eschbacher
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"""
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qvals = {"id_col": id_col,
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@ -172,8 +173,6 @@ def moran_local_rate(subquery, numerator, denominator, permutations, geom_col, i
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plpy.notice('** Exiting function')
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return zip([None], [None], [None], [None], [None])
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plpy.notice('r.nrows() = %d' % r.nrows())
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## collect attributes
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numer = get_attributes(r, 1)
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denom = get_attributes(r, 2)
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@ -389,4 +388,4 @@ def quad_position(quads):
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lisa_sig = np.array([map_quads(q) for q in quads])
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return lisa_sig
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return lisa_sig
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