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update signature used in plpython function
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@ -6,7 +6,7 @@
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-- 2 | Pt2 | 11.0 | 13.2 | 12.5
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-- 2 | Pt2 | 11.0 | 13.2 | 12.5
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-- ...
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-- ...
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-- Sample Function call:
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-- Sample Function call:
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-- SELECT cdb_spatial_markov('SELECT * FROM real_estate',
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-- SELECT cdb_spatial_markov('SELECT * FROM real_estate',
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-- Array['date_1', 'date_2', 'date_3'])
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-- Array['date_1', 'date_2', 'date_3'])
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@ -16,7 +16,7 @@ CREATE OR REPLACE FUNCTION
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time_cols text[],
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time_cols text[],
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num_time_per_bin int DEFAULT 1,
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num_time_per_bin int DEFAULT 1,
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permutations INT DEFAULT 99,
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permutations INT DEFAULT 99,
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geom_column TEXT DEFAULT 'the_geom',
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geom_col TEXT DEFAULT 'the_geom',
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id_col TEXT DEFAULT 'cartodb_id',
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id_col TEXT DEFAULT 'cartodb_id',
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w_type TEXT DEFAULT 'knn',
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w_type TEXT DEFAULT 'knn',
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num_ngbrs int DEFAULT 5)
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num_ngbrs int DEFAULT 5)
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@ -25,7 +25,7 @@ AS $$
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plpy.execute('SELECT cdb_crankshaft._cdb_crankshaft_activate_py()')
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plpy.execute('SELECT cdb_crankshaft._cdb_crankshaft_activate_py()')
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from crankshaft.space_time_predictions import spatial_markov
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from crankshaft.space_time_predictions import spatial_markov
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# TODO: use named parameters or a dictionary
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# TODO: use named parameters or a dictionary
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return spatial_markov(subquery, time_cols, permutations, geom_column, id_col, w_type, num_ngbrs)
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return def spatial_markov_trend(subquery, time_cols, num_time_per_bin, permutations, geom_col, id_col, w_type, num_ngbrs)
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$$ LANGUAGE plpythonu;
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$$ LANGUAGE plpythonu;
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-- input table format: identical to above but in a predictable format
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-- input table format: identical to above but in a predictable format
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@ -34,48 +34,48 @@ $$ LANGUAGE plpythonu;
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-- 'date_1')
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-- 'date_1')
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CREATE OR REPLACE FUNCTION
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-- CREATE OR REPLACE FUNCTION
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cdb_spatial_markov (
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-- cdb_spatial_markov (
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subquery TEXT,
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-- subquery TEXT,
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time_col_min text,
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-- time_col_min text,
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time_col_max text,
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-- time_col_max text,
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date_format text, -- '_YYYY_MM_DD'
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-- date_format text, -- '_YYYY_MM_DD'
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num_time_per_bin INT DEFAULT 1,
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-- num_time_per_bin INT DEFAULT 1,
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permutations INT DEFAULT 99,
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-- permutations INT DEFAULT 99,
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geom_column TEXT DEFAULT 'the_geom',
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-- geom_column TEXT DEFAULT 'the_geom',
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id_col TEXT DEFAULT 'cartodb_id',
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-- id_col TEXT DEFAULT 'cartodb_id',
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w_type TEXT DEFAULT 'knn',
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-- w_type TEXT DEFAULT 'knn',
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num_ngbrs int DEFAULT 5)
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-- num_ngbrs int DEFAULT 5)
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RETURNS TABLE (moran FLOAT, quads TEXT, significance FLOAT, ids INT)
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-- RETURNS TABLE (moran FLOAT, quads TEXT, significance FLOAT, ids INT)
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AS $$
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-- AS $$
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plpy.execute('SELECT cdb_crankshaft._cdb_crankshaft_activate_py()')
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-- plpy.execute('SELECT cdb_crankshaft._cdb_crankshaft_activate_py()')
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from crankshaft.clustering import moran_local
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-- from crankshaft.clustering import moran_local
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# TODO: use named parameters or a dictionary
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-- # TODO: use named parameters or a dictionary
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return spatial_markov(subquery, time_cols, permutations, geom_column, id_col, w_type, num_ngbrs)
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-- return spatial_markov(subquery, time_cols, permutations, geom_column, id_col, w_type, num_ngbrs)
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$$ LANGUAGE plpythonu;
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-- $$ LANGUAGE plpythonu;
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--
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-- input table format:
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-- -- input table format:
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-- id | geom | date | measurement
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-- -- id | geom | date | measurement
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-- 1 | Pt1 | 12/3 | 13.2
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-- -- 1 | Pt1 | 12/3 | 13.2
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-- 2 | Pt2 | 11/5 | 11.3
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-- -- 2 | Pt2 | 11/5 | 11.3
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-- 3 | Pt1 | 11/13 | 12.9
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-- -- 3 | Pt1 | 11/13 | 12.9
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-- 4 | Pt3 | 12/19 | 10.1
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-- -- 4 | Pt3 | 12/19 | 10.1
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-- ...
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-- -- ...
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--
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CREATE OR REPLACE FUNCTION
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-- CREATE OR REPLACE FUNCTION
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cdb_spatial_markov (
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-- cdb_spatial_markov (
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subquery TEXT,
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-- subquery TEXT,
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time_col text,
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-- time_col text,
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num_time_per_bin INT DEFAULT 1,
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-- num_time_per_bin INT DEFAULT 1,
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permutations INT DEFAULT 99,
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-- permutations INT DEFAULT 99,
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geom_column TEXT DEFAULT 'the_geom',
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-- geom_column TEXT DEFAULT 'the_geom',
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id_col TEXT DEFAULT 'cartodb_id',
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-- id_col TEXT DEFAULT 'cartodb_id',
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w_type TEXT DEFAULT 'knn',
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-- w_type TEXT DEFAULT 'knn',
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num_ngbrs int DEFAULT 5)
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-- num_ngbrs int DEFAULT 5)
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RETURNS TABLE (moran FLOAT, quads TEXT, significance FLOAT, ids INT)
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-- RETURNS TABLE (moran FLOAT, quads TEXT, significance FLOAT, ids INT)
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AS $$
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-- AS $$
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plpy.execute('SELECT cdb_crankshaft._cdb_crankshaft_activate_py()')
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-- plpy.execute('SELECT cdb_crankshaft._cdb_crankshaft_activate_py()')
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from crankshaft.clustering import moran_local
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-- from crankshaft.clustering import moran_local
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# TODO: use named parameters or a dictionary
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-- # TODO: use named parameters or a dictionary
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return spatial_markov(subquery, time_cols, permutations, geom_column, id_col, w_type, num_ngbrs)
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-- return spatial_markov(subquery, time_cols, permutations, geom_column, id_col, w_type, num_ngbrs)
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$$ LANGUAGE plpythonu;
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-- $$ LANGUAGE plpythonu;
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