added function overload with subqueries input
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## Gravity Model
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### CDB_Gravity(t_id bigint[], t_geom geometry[], t_weight numeric[], s_id bigint[], s_geom geometry[], s_pop numeric[], target bigint, radius integer, minval numeric DEFAULT -10e307)
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Gravity Models are derived from Newton's Law of Gravity and are used to predict the interaction between a group of populated areas (sources) and a specific target among a group of potential targets, in terms of an attraction factor (weight)
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**CDB_Gravity** is based on the model defined in *Huff's Law of Shopper attraction (1963)*
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### CDB_Gravity(t_id bigint[], t_geom geometry[], t_weight numeric[], s_id bigint[], s_geom geometry[], s_pop numeric[], target bigint, radius integer, minval numeric DEFAULT -10e307)
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#### Arguments
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| Name | Type | Description |
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@@ -20,8 +20,22 @@ Gravity Models are derived from Newton's Law of Gravity and are used to predict
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| radius | integer | Radius in meters around the target under study that will be taken into account|
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| minval (optional) | numeric | Lowest accepted value of weight, defaults to numeric min_value |
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### CDB_Gravity( target_query text, weight_column text, source_query text, pop_column text, target bigint, radius integer, minval numeric DEFAULT -10e307)
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#### Returns
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#### Arguments
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| Name | Type | Description |
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|------|------|-------------|
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| target_query | text | Query that defines targets |
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| weight_column | text | Column name of weights |
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| source_query | text | Query that defines sources |
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| pop_column | text | Column name of population |
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| target | bigint | cartodb_id of the target under study |
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| radius | integer | Radius in meters around the target under study that will be taken into account|
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| minval (optional) | numeric | Lowest accepted value of weight, defaults to numeric min_value |
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### Returns
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| Column Name | Type | Description |
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|-------------|------|-------------|
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