| copyright | lastupdated | subcollection | ||
|---|---|---|---|---|
|
2020-01-13 |
AnalyticsEngine |
{:new_window: target="_blank"} {:shortdesc: .shortdesc} {:codeblock: .codeblock} {:screen: .screen} {:pre: .pre} {:external: target="_blank" .external}
{: #geospatial-geotemporal-lib}
You can use the spatio-temporal library to expand your data science analysis in Python notebooks to include location analytics by gathering, manipulating and displaying imagery, GPS, satellite photography and historical data.
The spatio-temporal library is offered in all {{site.data.keyword.iae_full_notm}} plans with the AE 1.2 Spark and Hadoop software package.
You can use the spatio-temporal lib for applications that run in a standalone {{site.data.keyword.iae_full_notm}} cluster, which you create for your data analysis processing, or in solutions that use {{site.data.keyword.iae_full_notm}}, for example in the Spark environments available in {{site.data.keyword.DSX_full}}.
{: #geospatial-geotemporal-lib-1}
The geospatial library includes functions to read and write data, topological functions, geohashing, indexing, ellipsoidal and routing functions.
Key aspects of the library include:
- All calculated geometries are accurate without the need for projections.
- The geospatial functions, when run in {{site.data.keyword.iae_full_notm}} standalone or in a solution that uses {{site.data.keyword.iae_full_notm}} take advantage of the distributed processing capabilities provided by Spark.
- The library includes native geohashing support for geometries used in simple aggregations and in {{site.data.keyword.cos_full_notm}} indexing, whereby improving storage retrieval considerably.
- The library supports extensions of Spark distributed joins.
- The library supports the SQL/MM extensions to Spark SQL.
{: #geospatial-geotemporal-lib-2}
Before you can start using the library in a notebook, you must register STContext in your notebook to access the st functions.
To register STContext:
from pyst import STContext
stc = STContext(spark.sparkContext._gateway){: #geospatio-next-steps}
After you have registered STContext in your notebook, you can begin exploring the spatio-temporal library for:
- Functions to read and write data{: external}
- Topological functions{: external}
- Geohashing functions{: external}
- Geospatial indexing functions{: external}
- Ellipsoidal functions{: external}
- Routing functions{: external}
{: #learn-more-goespatio-lib}
Check out the following Python notebooks to learn how to use the spacio-temporal library functions in Python notebooks. To access these notebooks, you need an {{site.data.keyword.DSX_full}} instance. See Provisioning an {{site.data.keyword.DSX_full}} instance{: external}.
- Use the spatio-temporal library for location analytics{: external}
- Use spatial indexing to query spatial data{: external}
- Spatial Queries in PySpark{: external}