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Merge pull request #131 from CartoDB/docs-781

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rebranding
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Carlos Matallín 2016-07-07 18:57:47 +02:00 committed by GitHub
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doc/boundary_functions.md
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# Boundary Functions
Use the following functions to retrieve [Boundary](/cartodb-platform/data/overview/#boundary-data) data. Data ranges from small areas (e.g. US Census Block Groups) to large areas (e.g. Countries). You can access boundaries by point location lookup, bounding box lookup, direct ID access and several other methods described below.
Use the following functions to retrieve [Boundary](/carto-engine/data/overview/#boundary-data) data. Data ranges from small areas (e.g. US Census Block Groups) to large areas (e.g. Countries). You can access boundaries by point location lookup, bounding box lookup, direct ID access and several other methods described below.
You can [access](/cartodb-platform/data/accessing/#accessing-the-data-observatory) boundaries through the CartoDB Editor. The same methods will work if you are using the CartoDB Platform to develop your application. We [encourage you](/cartodb-platform/data/accessing/#best-practices) to use table modifying methods (UPDATE and INSERT) over dynamic methods (SELECT).
You can [access](/carto-engine/data/accessing/#accessing-the-data-observatory) boundaries through the CARTO Editor. The same methods will work if you are using the CARTO Engine to develop your application. We [encourage you](/carto-engine/data/accessing/#best-practices) to use table modifying methods (UPDATE and INSERT) over dynamic methods (SELECT).
## OBS_GetBoundariesByGeometry(polygon geometry, geometry_id text)

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doc/discovery_functions.md
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# Discovery Functions
If you are using the [discovery methods](/cartodb-platform/data/overview/#discovery-methods) from the Data Observatory, use the following functions to retrieve [boundary](/cartodb-platform/data/overview/#boundary-data) and [measures](/cartodb-platform/data/overview/#measures-data) data.
If you are using the [discovery methods](/carto-engine/data/overview/#discovery-methods) from the Data Observatory, use the following functions to retrieve [boundary](/carto-engine/data/overview/#boundary-data) and [measures](/carto-engine/data/overview/#measures-data) data.
## OBS_Search(search_term)
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Key | Description
--- | ---
boundary_id | a boundary identifier from the [boundary ID glossary](/cartodb-platform/data/glossary/#boundary-ids)
boundary_id | a boundary identifier from the [boundary ID glossary](/carto-engine/data/glossary/#boundary-ids)
description | a brief description of the boundary dataset
time_span | the timespan attached the boundary. this does not mean that the boundary is invalid outside of the timespan, but is the explicit timespan published with the geometry.

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doc/measures_functions.md
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# Measures Functions
[Data Observatory Measures](/cartodb-platform/data/overview/#measures-methods) 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.
[Data Observatory Measures](/carto-engine/data/overview/#measures-methods) 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](http://data-observatory.s3.amazonaws.com/observatory.pdf).
You can [access](/cartodb-platform/data/accessing/#accessing-the-data-observatory) measures through the CartoDB Editor. The same methods will work if you are using the CartoDB Platform to develop your application. We [encourage you](/cartodb-platform/data/accessing/#best-practices) to use table modifying methods (UPDATE and INSERT) over dynamic methods (SELECT).
You can [access](/carto-engine/data/accessing/#accessing-the-data-observatory) measures through the CARTO Editor. The same methods will work if you are using the CARTO Engine to develop your application. We [encourage you](/carto-engine/data/accessing/#best-practices) to use table modifying methods (UPDATE and INSERT) over dynamic methods (SELECT).
## OBS_GetUSCensusMeasure(point geometry, measure_name text)