8.6 KiB
Measures Functions
Data Observatory Measures are the numerical location data you can access. The measure functions allow you to access individual measures to augment your own data or integrate in your analysis workflows. Measures are used by sending an identifier or a geometry (point or polygon) and receiving back a measure (an absolute value) for that location.
There are hundreds of measures and the list is growing with each release. You can currently discover and learn about measures contained in the Data Observatory by downloading our Data Catalog.
You can access measures through the CARTO Editor. The same methods will work if you are using the CARTO Engine to develop your application. We encourage you to use table modifying methods (UPDATE and INSERT) over dynamic methods (SELECT).
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.
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. |
| 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 (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) |
Returns
A NUMERIC value
| Key | Description |
|---|---|
| value | the raw or normalized measure |
Example
Add a measure to an empty numeric column based on point locations in your table.
UPDATE tablename
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.
Arguments
| Name | Description |
|---|---|
| polygon | a WGS84 polygon geometry (the_geom) |
| measure_name | a human readable string name of a US Census variable. The list of measure_names is available in the glossary. |
| 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 (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) |
Returns
A NUMERIC value
| Key | Description |
|---|---|
| value | the raw or normalized measure |
Example
Add a measure to an empty numeric column based on polygons in your table
UPDATE tablename
SET local_male_population = OBS_GetUSCensusMeasure(the_geom, 'Male Population')
OBS_GetMeasure(point geometry, measure_id text)
The OBS_GetMeasure(point, measure_id) function returns any Data Observatory measure at a point location. You can browse all available Measures in the Catalog.
Arguments
| Name | Description |
|---|---|
| point | a WGS84 point geometry (the_geom) |
| measure_id | a measure identifier from the Data Observatory (see available measures). 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. (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) |
Returns
A NUMERIC value
| Key | Description |
|---|---|
| value | the raw or normalized measure |
Example
Add a measure to an empty numeric column based on point locations in your table
UPDATE tablename
SET median_home_value_sqft = OBS_GetMeasure(the_geom, 'us.zillow.AllHomes_MedianValuePerSqft')
OBS_GetMeasure(polygon geometry, measure_id text)
The OBS_GetMeasure(polygon, measure_id) function returns any Data Observatory measure calculated within a polygon.
Arguments
| Name | Description |
|---|---|
| polygon_geometry | a WGS84 polygon geometry (the_geom) |
| measure_id | a measure identifier from the Data Observatory (see available measures) |
| 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 (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) |
Returns
A NUMERIC value
| Key | Description |
|---|---|
| value | the raw or normalized measure |
Example
Add a measure to an empty column based on polygons in your table
UPDATE tablename
SET household_count = OBS_GetMeasure(the_geom, 'us.census.acs.B11001001')
Errors
- If an unrecognized normalization type is input, raise an error:
'Only valid inputs for "normalize" are "area" (default) and "denominator".
OBS_GetMeasureById(geom_ref text, measure_id text, boundary_id text)
The OBS_GetMeasureById(geom_ref, measure_id, boundary_id) function returns any Data Observatory measure that corresponds to the boundary in boundary_id that has a geometry reference of geom_ref.
Arguments
| Name | Description |
|---|---|
| geom_ref | a geometry reference (e.g., a US Census geoid) |
| measure_id | a measure identifier from the Data Observatory (see available measures) |
| boundary_id | source of geometries to pull measure from (e.g., 'us.census.tiger.census_tract') |
| time_span (optional) | time span of interest (e.g., 2010 - 2014). If NULL is passed, the measure from the most recent data will be used. |
Returns
A NUMERIC value
| Key | Description |
|---|---|
| value | the raw measure associated with geom_ref |
Example
Add a measure to an empty column based on county geoids in your table
UPDATE tablename
SET household_count = OBS_GetMeasureById(geoid_column, 'us.census.acs.B11001001', 'us.census.tiger.county')
Errors
- Returns
NULLif there is a mismatch between the geometry reference and the boundary id such as using the geoid of a county with the boundary of block groups
OBS_GetCategory(point geometry, category_id text)
The OBS_GetCategory(point, category_id) function returns any Data Observatory Category value at a point location. The Categories available are currently limited to Segmentation categories. See the Segmentation section of the Catalog for more detail.
Arguments
| Name | Description |
|---|---|
| point | a WGS84 point geometry (the_geom) |
| category_id | a category identifier from the Data Observatory (see available measures). |
Returns
A TEXT value
| Key | Description |
|---|---|
| value | a text based category found at the supplied point |
Example
Add the Category to an empty column text column based on point locations in your table
UPDATE tablename
SET segmentation = OBS_GetCategory(the_geom, 'us.census.spielman_singleton_segments.X55')