Fwd: Geospatial Track at ApacheCon 2016

[Sergio Fernández <wi...@apache.org>]

FYI
---------- Forwarded message ----------
From: "George Percivall" <gp...@opengeospatial.org>
Date: Dec 18, 2015 19:51
Subject: Geospatial Track at ApacheCon 2016
To: <bi...@lists.opengeospatial.org>, <
GeoAPI-3.0.swg@lists.opengeospatial.org>
Cc: "Martin Desruisseaux" <ma...@geomatys.com>, "Sergio
Fernández" <wi...@apache.org>, "Chris Mattmann" <ch...@nasa.gov>,
"Ram Sriharsha" <sr...@gmail.com>


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 <sr...@gmail.com>
*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.