Apache Big Data NA 2016 included a Geospatial Track <https://apachebigdata2016.sched.org/overview/type/Geospatial> There were eight presentations, a BoF session, and a wrap-up session. A separate message provides the next steps from the wrap-up session.
Some of the presentations are posted online. All presenters are encouraged to provide a link to their presentation. Regards, George ________________________________________________________ Geospatial Track Presentations. Big Geo Data: Open Standards and Open Source <https://apachebigdata2016.sched.org/event/6M2E/open-geospatial-standards-and-open-source-george-percival-open-geospatial-consortium-ogc> George Percival, Open Geospatial Consortium (OGC) Presentation on Slideshare <http://www.slideshare.net/GeorgePercivall/big-geo-data-open-source-and-open-standards-61922843> Applying Geospatial Analytics Using Apache Spark Running on Apache Mesos <https://apachebigdata2016.sched.org/event/6M1I/applying-geospatial-analytics-using-apache-spark-running-on-apache-mesos-adam-mollenkopf-esri> Adam Mollenkopf, Esri SciSpark: MapReduce in Atmospheric Sciences <https://apachebigdata2016.sched.org/event/6M1i/scispark-mapreduce-in-atmospheric-sciences-kim-whitehall-nasa-jet-propulsion-laboratory> Kim Whitehall, NASA Jet Propulsion Laboratory Geospatially Enable Your Hadoop, Accumulo, and Spark Applications with LocationTech Projects <https://apachebigdata2016.sched.org/event/6M0a/geospatially-enable-your-hadoop-accumulo-and-spark-applications-with-locationtech-projects> Robert Emanuele, Azavea Hiding Some of Geospatial Complexity - Apache SIS <https://apachebigdata2016.sched.org/event/6M2T/hiding-some-of-geospatial-complexity-martin-desruisseaux-geomatys> Martin Desruisseaux, Geomatys Geospatial Querying in Apache Marmotta <https://apachebigdata2016.sched.org/event/6M0m/geospatial-querying-in-apache-marmotta-sergio-fernandez-redlink-gmbh> Sergio Fernandez, Redlink GmbH Presentation on Slideshare <http://www.slideshare.net/Wikier/geospatial-querying-in-apache-marmotta-apache-big-data-north-america-2016> Spatial Data Based People/Vehicles Trails Analysis to Support Precision Urban Planning <https://apachebigdata2016.sched.org/event/6M2m/spatial-data-based-peoplevhicles-trails-analysis-to-support-precision-urban-planning-yonghua-zeng-ibm> Yonghua Zeng, IBM Crowd Learning for Indoor Positioning <https://apachebigdata2016.sched.org/event/6M2p/crowd-learning-for-indoor-positioning-thomas-burgess-indoors-gmbh> Thomas Burgess, indoo.rs GmbH
