FYI ---------- Forwarded message ---------- From: "George Percivall" <[email protected]> Date: Dec 18, 2015 19:51 Subject: Geospatial Track at ApacheCon 2016 To: <[email protected]>, < [email protected]> Cc: "Martin Desruisseaux" <[email protected]>, "Sergio Fernández" <[email protected]>, "Chris Mattmann" <[email protected]>, "Ram Sriharsha" <[email protected]>
ApacheCon NA 2016 in Vancouver looks to include a geospatial track based on prompting by Martin, Sergio, Chris, Ram and myself. OGC members regularly discuss relevant topics. This is a good way to show synergies not just in geospatial but between e.g., OGC and Apache too. If you are interested please consider submitting a talk about geospatial, OGC standards, Apache projects, etc. http://events.linuxfoundation.org/events/apachecon-north-america/program/cfp Please use the prefix Geospatial Track - [talk] on your title titles if you choose to do so. Several items listed below give you a sense of the topic: - Blog: OGC standards in Apache projects - Martin and Sergio - Geospatial Track abstract - Chris, Martin, Sergio, Ram, George - Geospatial Track - Magellan: Spark as a Geospatial Analytics Engine - draft talk submission from Ram This talk will focus on how Magellan implements Spatial Joins to scale geometric queries. Talks are encouraged on geospatial for a wide variety of Apache projects and application areas: - Projects: Spark, SIS, Accumulo, Marmotta, Solr, Tika, Magellan, NiFi, others. - Application areas: Climate, intelligence, IoT, social media, etc. Regards, George _________________________________________________________________________________________ "OGC standards in Apache projects" Blog post date: 17 December 2015 Contributed by: Martin Desruisseaux and Sergio Fernández http://www.opengeospatial.org/blog/2346 This a call for interest for in a spatial data session at Apache: Big Data North America. Spatial data is big data - multiple Apache projects address spatial data. This proposed session seeks coordination of spatial information implementations across Apache projects. Several Apache projects are implementing geospatial functionalities and there is an opportunity to discuss approaches. One opportunity is to consider the use of open standards to increase interoperability and code reuse. Relevant standards include ISO 19115 for geospatial metadata. OGC standards include Simple Features, coordinate reference systems and WKT, GeoSPARQL. coverages and DGGS. Relevant projects include Accumulo, SIS, Marmotta, Solr, Tika, Magellan, NiFi, others. Supporters of this spatial session include: George Percivall, OGC Chris Mattmann, JPL/NASA Martin Desruisseaux, Geomatys Sergio Fernández, Redlink Ram Sriharsha, Hortonworks *From: *Ram Sriharsha <[email protected]> *Subject: **Re: Geospatial track - ApacheCon CFP.* *Date: *December 18, 2015 at 1:09:14 PM EST My submission: Geospatial Track -Magellan: Spark as a Geospatial Analytics Engine Suppose you have a large volume of point in space data. You want to join this dataset with shapes (be it neighborhoods in New York boroughs, the road system in NYC, railroad track lines, what have you). How do you do this join at scale? The lack of spatial join implementations in open source geospatial analytics libraries is one of the biggest impediments to leveraging geospatial context for rich predictive analytics, and our goal in this talk is to show how we are solving this problem using Magellan and Spark. Magellan is a newly open sourced geospatial analytics engine written on top of Spark and is the first such engine to deeply leverage Spark SQL, Dataframes and Catalyst to provide very efficient spatial analytics on top of Spark. In this talk we will focus on one specific aspect of Magellan, which is, how does Magellan implement Spatial Joins to scale geometric queries.
