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doc/measures_functions.md
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@ -8,15 +8,15 @@ You can [access](https://carto.com/docs/carto-engine/data/accessing) measures th
## OBS_GetUSCensusMeasure(point geometry, measure_name text)
The ```OBS_GetUSCensusMeasure(point, measure_name)``` function returns a measure based on a subset of the US Census variables at a point location. The ```OBS_GetUSCensusMeasure``` function is limited to only a subset of all measures that are available in the Data Observatory, to access the full list, use measure IDs with the ```OBS_GetMeasure``` function below.
The ```OBS_GetUSCensusMeasure(point, measure_name)``` function returns a measure based on a subset of the US Census variables at a point location. The ```OBS_GetUSCensusMeasure``` function is limited to only a subset of all measures that are available in the Data Observatory. To access the full list, use measure IDs with the ```OBS_GetMeasure``` function below.
#### Arguments
Name |Description
--- | ---
point | a WGS84 point geometry (the_geom)
measure_name | a human readable name of a US Census variable. The list of measure_names is [available in the Glossary](https://carto.com/docs/carto-engine/data/glossary/#obsgetuscensusmeasure-names-table).
normalize | for measures that are are **sums** (e.g. population) the default normalization is 'area' and response comes back as a rate per square kilometer. Other options are 'denominator', which will use the denominator specified in the [Data Catalog](https://cartodb.github.io/bigmetadata/index.html) (optional)
measure_name | a human-readable name of a US Census variable. The list of measure_names is [available in the Glossary](https://carto.com/docs/carto-engine/data/glossary/#obsgetuscensusmeasure-names-table).
normalize | for measures that are **sums** (e.g. population) the default normalization is 'area' and response comes back as a rate per square kilometer. Other options are 'denominator', which will use the denominator specified in the [Data Catalog](https://cartodb.github.io/bigmetadata/index.html) (optional)
boundary_id | source of geometries to pull measure from (e.g., 'us.census.tiger.census_tract')
time_span | time span of interest (e.g., 2010 - 2014)
@ -39,7 +39,7 @@ SET total_population = OBS_GetUSCensusMeasure(the_geom, 'Total Population')
## OBS_GetUSCensusMeasure(polygon geometry, measure_name text)
The ```OBS_GetUSCensusMeasure(point, measure_name)``` function returns a measure based on a subset of the US Census variables within a given polygon. The ```OBS_GetUSCensusMeasure``` function is limited to only a subset of all measures that are available in the Data Observatory, to access the full list, use the ```OBS_GetUSCensusMeasure``` function below.
The ```OBS_GetUSCensusMeasure(point, measure_name)``` function returns a measure based on a subset of the US Census variables within a given polygon. The ```OBS_GetUSCensusMeasure``` function is limited to only a subset of all measures that are available in the Data Observatory. To access the full list, use the ```OBS_GetUSCensusMeasure``` function below.
#### Arguments
@ -78,7 +78,7 @@ Name |Description
--- | ---
point | a WGS84 point geometry (the_geom)
measure_id | a measure identifier from the Data Observatory ([see available measures](https://cartodb.github.io/bigmetadata/observatory.pdf)). It is important to note that these are different than 'measure_name' used in the Census based functions above.
normalize | for measures that are are **sums** (e.g. population) the default normalization is 'area' and response comes back as a rate per square kilometer. The other option is 'denominator', which will use the denominator specified in the [Data Catalog](https://cartodb.github.io/bigmetadata/index.html). (optional)
normalize | for measures that are **sums** (e.g. population) the default normalization is 'area' and response comes back as a rate per square kilometer. The other option is 'denominator', which will use the denominator specified in the [Data Catalog](https://cartodb.github.io/bigmetadata/index.html). (optional)
boundary_id | source of geometries to pull measure from (e.g., 'us.census.tiger.census_tract')
time_span | time span of interest (e.g., 2010 - 2014)
@ -109,7 +109,7 @@ Name |Description
--- | ---
polygon_geometry | a WGS84 polygon geometry (the_geom)
measure_id | a measure identifier from the Data Observatory ([see available measures](https://cartodb.github.io/bigmetadata/observatory.pdf))
normalize | for measures that are are **sums** (e.g. population) the default normalization is 'none' and response comes back as a raw value. Other options are 'denominator', which will use the denominator specified in the [Data Catalog](https://cartodb.github.io/bigmetadata/index.html) (optional)
normalize | for measures that are **sums** (e.g. population) the default normalization is 'none' and response comes back as a raw value. Other options are 'denominator', which will use the denominator specified in the [Data Catalog](https://cartodb.github.io/bigmetadata/index.html) (optional)
boundary_id | source of geometries to pull measure from (e.g., 'us.census.tiger.census_tract')
time_span | time span of interest (e.g., 2010 - 2014)
@ -236,23 +236,23 @@ fail.
Metadata Output Key | Description
--- | -----------
numer_id | Identifier for desired measurement.
numer_timespan | Timespan that will be used of the desired measurement.
numer_id | Identifier for desired measurement
numer_timespan | Timespan that will be used of the desired measurement
numer_name | Human-readable name of desired measure
numer_type | PostgreSQL/PostGIS type of desired measure
numer_colname | Internal identifier for column name
numer_tablename | Internal identifier for table
numer_geomref_colname | Internal identifier for geomref column name
denom_id | Identifier for desired normalization.
denom_timespan | Timespan that will be used of the desired normalization.
denom_id | Identifier for desired normalization
denom_timespan | Timespan that will be used of the desired normalization
denom_name | Human-readable name of desired measure's normalization
denom_type | PostgreSQL/PostGIS type of desired measure's normalization
denom_colname | Internal identifier for normalization column name
denom_tablename | Internal identifier for normalization table
denom_geomref_colname | Internal identifier for normalization geomref column name
geom_id | Identifier for desired boundary geometry.
geom_timespan | Timespan that will be used of the desired boundary geometry.
geom_name | Human-readable name of desired boundary geometry's
geom_id | Identifier for desired boundary geometry
geom_timespan | Timespan that will be used of the desired boundary geometry
geom_name | Human-readable name of desired boundary geometry
geom_type | PostgreSQL/PostGIS type of desired boundary geometry
geom_colname | Internal identifier for boundary geometry column name
geom_tablename | Internal identifier for boundary geometry table
@ -331,7 +331,7 @@ FROM OBS_GetData((SELECT ARRAY_AGG((the_geom, cartodb_id)::geomval) FROM tablena
(SELECT meta FROM meta))
```
Update a table with population densities
Update a table with population densities:
```SQL
WITH meta AS (
@ -353,7 +353,7 @@ The ```OBS_GetData(ids, metadata)``` function returns a measure and/or
geometry corresponding to the `metadata` JSON array for each every id of
the `ids` array. The metadata argument must be obtained from
```OBS_GetMeta(extent, metadata)```. When obtaining metadata, one must include
the `geom_id` corresponding to the boundary the `ids` refer to.
the `geom_id` corresponding to the boundary that the `ids` refer to.
#### Arguments
@ -363,7 +363,7 @@ ids | An array of `TEXT` elements. This should be obtained by using `ARRAY_AGG(
metadata | A JSON array composed of metadata output objects from `OBS_GetMeta(extent, metadata)`. The schema of the elements of the `metadata` JSON array corresponds to that of the output of ```OBS_GetMeta(extent, metadata)```, and this argument must be obtained from that function in order for the call to be valid.
For this function to work, the `metadata` argument must include a `geom_id`
that corresponds to the IDS found in `col_of_geom_refs`.
that corresponds to the ids found in `col_of_geom_refs`.
#### Returns