rename functions -> trend
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@ -10,7 +10,7 @@
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-- Array['date_1', 'date_2', 'date_3'])
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CREATE OR REPLACE FUNCTION
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CDB_SpatialMarkov (
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CDB_SpatialMarkovTrend (
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subquery TEXT,
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time_cols TEXT[],
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num_classes INT DEFAULT 7,
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@ -10,13 +10,13 @@ SELECT cdb_crankshaft._cdb_random_seeds(1234);
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SELECT m1.cartodb_id, m2.trend, m2.trend_up, m2.trend_down, m2.volatility
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FROM markov_usjoin_example As m1
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JOIN cdb_crankshaft.CDB_SpatialMarkov('SELECT * FROM markov_usjoin_example ORDER BY cartodb_id DESC', Array['y1995', 'y1996', 'y1997', 'y1998', 'y1999', 'y2000', 'y2001', 'y2002', 'y2003', 'y2004', 'y2005', 'y2006', 'y2007', 'y2008', 'y2009']::text[], 5::int, 'knn'::text, 5::int, 0::int, 'the_geom'::text, 'cartodb_id'::text) As m2
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JOIN cdb_crankshaft.CDB_SpatialMarkovTrend('SELECT * FROM markov_usjoin_example ORDER BY cartodb_id DESC', Array['y1995', 'y1996', 'y1997', 'y1998', 'y1999', 'y2000', 'y2001', 'y2002', 'y2003', 'y2004', 'y2005', 'y2006', 'y2007', 'y2008', 'y2009']::text[], 5::int, 'knn'::text, 5::int, 0::int, 'the_geom'::text, 'cartodb_id'::text) As m2
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ON m1.cartodb_id = m2.rowid
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ORDER BY m1.cartodb_id;
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SELECT m1.cartodb_id, m2.trend, m2.trend_up, m2.trend_down, m2.volatility
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FROM markov_usjoin_example As m1
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JOIN cdb_crankshaft.CDB_SpatialMarkov('SELECT * FROM markov_usjoin_example LIMIT 0', Array['y1995', 'y1996', 'y1997', 'y1998', 'y1999', 'y2000', 'y2001', 'y2002', 'y2003', 'y2004', 'y2005', 'y2006', 'y2007', 'y2008', 'y2009']::text[], 5::int, 'knn'::text, 5::int, 0::int, 'the_geom'::text, 'cartodb_id'::text) As m2
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JOIN cdb_crankshaft.CDB_SpatialMarkovTrend('SELECT * FROM markov_usjoin_example LIMIT 0', Array['y1995', 'y1996', 'y1997', 'y1998', 'y1999', 'y2000', 'y2001', 'y2002', 'y2003', 'y2004', 'y2005', 'y2006', 'y2007', 'y2008', 'y2009']::text[], 5::int, 'knn'::text, 5::int, 0::int, 'the_geom'::text, 'cartodb_id'::text) As m2
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ON m1.cartodb_id = m2.rowid
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ORDER BY m1.cartodb_id;
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@ -19,6 +19,7 @@ def spatial_markov_trend(subquery, time_cols, num_classes = 7,
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Inputs:
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@param subquery string: e.g., SELECT the_geom, cartodb_id, interesting_time_column FROM table_name
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@param time_cols list of strings: list of strings of column names
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@param num_classes (optional): number of classes to break distribution of values into. Currently uses quantile bins.
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@param w_type string (optional): weight type ('knn' or 'queen')
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@param num_ngbrs int (optional): number of neighbors (if knn type)
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@param permutations int (optional): number of permutations for test stats
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@ -30,7 +31,6 @@ def spatial_markov_trend(subquery, time_cols, num_classes = 7,
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@param trend_down float: probablity that a geom will move to a lower class
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@param trend float: (trend_up - trend_down) / trend_static
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@param volatility float: a measure of the volatility based on probability stddev(prob array)
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@param
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"""
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if len(time_cols) < 2:
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