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Posted to geospatial@apache.org by George Percivall <gp...@opengeospatial.org> on 2017/09/28 20:21:13 UTC
Apache 2016 Geospatial Track - results in Big Geo Data white paper
The OGC "Big Geo Data" white paper is now public http://docs.opengeospatial.org/wp/16-131r2/16-131r2.html <http://docs.opengeospatial.org/wp/16-131r2/16-131r2.html>
A key input to the White Paper was the Geospatial Track from the Apache Big Data conference from last year.
https://apachebigdata2016.sched.com/overview/type/Geospatial <https://apachebigdata2016.sched.com/overview/type/Geospatial>
Sections 4 and 5 lists ideas suggested for future work to advance the big geospatial data.
One of these ideas to continue and increase engagement with Apache big data open source.
When Apache conferences for 2018 are announced it would be good to again organize a geospatial track.
Thanks again for your contributions,
George Percivall
CTO, Chief Engineer
Open Geospatial Consortium
_______________________________________________________________________
Big Geospatial Data – an OGC White Paper
Top level outline of the white paper:
1. The Big Data Trend and Geospatial Information
2. The Value of Big Geo Data Applications
3. Use cases for Big Geo Data
4. OGC Big Geo Data Opportunities
5. OGC activities on Big Geo Data
A figure provides overview of Section 3 Use Cases.
Section 4 lists several Big Geo Data opportunities - several are already underway in OGC:
• Cloud computing for EO data
• Analysis Ready Data and Datacubes
• Data Representation for Big Geo Data: Features, Coverages, DGGS
• Big Linked Geodata
• Big Geo Data - Open source
> On May 13, 2016, at 4:41 PM, George Percivall <gpercivall@opengeospatial.org <ma...@opengeospatial.org>> wrote:
>
> Apache Big Data NA 2016 included a Geospatial Track <https://apachebigdata2016.sched.org/overview/type/Geospatial <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 at Apache Big Data **
>
> * Big Geo Data: Open Standards and Open Source
> George Percivall, Open Geospatial Consortium (OGC)
> <https://apachebigdata2016.sched.org/event/6M2E/open-geospatial-standards-and-open-source-george-percival-open-geospatial-consortium-ogc <https://apachebigdata2016.sched.org/event/6M2E/open-geospatial-standards-and-open-source-george-percival-open-geospatial-consortium-ogc>>
> Presentation on Slideshare
> <http://www.slideshare.net/GeorgePercivall/big-geo-data-open-source-and-open-standards-61922843 <http://www.slideshare.net/GeorgePercivall/big-geo-data-open-source-and-open-standards-61922843>>
>
> * Applying Geospatial Analytics Using Apache Spark Running on Apache Mesos
> Adam Mollenkopf, Esri
> <https://apachebigdata2016.sched.org/event/6M1I/applying-geospatial-analytics-using-apache-spark-running-on-apache-mesos-adam-mollenkopf-esri <https://apachebigdata2016.sched.org/event/6M1I/applying-geospatial-analytics-using-apache-spark-running-on-apache-mesos-adam-mollenkopf-esri>>
>
> * SciSpark: MapReduce in Atmospheric Sciences
> Kim Whitehall, NASA Jet Propulsion Laboratory
> <https://apachebigdata2016.sched.org/event/6M1i/scispark-mapreduce-in-atmospheric-sciences-kim-whitehall-nasa-jet-propulsion-laboratory <https://apachebigdata2016.sched.org/event/6M1i/scispark-mapreduce-in-atmospheric-sciences-kim-whitehall-nasa-jet-propulsion-laboratory>>
>
> * Geospatially Enable Your Hadoop, Accumulo, and Spark Applications with LocationTech Projects
> Robert Emanuele, Azavea
> <https://apachebigdata2016.sched.org/event/6M0a/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>>
>
> * Hiding Some of Geospatial Complexity - Apache SIS
> Martin Desruisseaux, Geomatys
> <https://apachebigdata2016.sched.org/event/6M2T/hiding-some-of-geospatial-complexity-martin-desruisseaux-geomatys <https://apachebigdata2016.sched.org/event/6M2T/hiding-some-of-geospatial-complexity-martin-desruisseaux-geomatys>>
>
> * Geospatial Querying in Apache Marmotta
> Sergio Fernandez, Redlink GmbH
> <https://apachebigdata2016.sched.org/event/6M0m/geospatial-querying-in-apache-marmotta-sergio-fernandez-redlink-gmbh <https://apachebigdata2016.sched.org/event/6M0m/geospatial-querying-in-apache-marmotta-sergio-fernandez-redlink-gmbh>>
> Presentation on Slideshare
> <http://www.slideshare.net/Wikier/geospatial-querying-in-apache-marmotta-apache-big-data-north-america-2016 <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
> Yonghua Zeng, IBM
> <https://apachebigdata2016.sched.org/event/6M2m/spatial-data-based-peoplevhicles-trails-analysis-to-support-precision-urban-planning-yonghua-zeng-ibm <https://apachebigdata2016.sched.org/event/6M2m/spatial-data-based-peoplevhicles-trails-analysis-to-support-precision-urban-planning-yonghua-zeng-ibm>>
>
> * Crowd Learning for Indoor Positioning
> Thomas Burgess, indoo.rs <http://indoo.rs/> GmbH
> <https://apachebigdata2016.sched.org/event/6M2p/crowd-learning-for-indoor-positioning-thomas-burgess-indoors-gmbh <https://apachebigdata2016.sched.org/event/6M2p/crowd-learning-for-indoor-positioning-thomas-burgess-indoors-gmbh>>
>
>
>
>
Re: Apache 2016 Geospatial Track - results in Big Geo Data white
paper
Posted by Martin Desruisseaux <ma...@geomatys.com>.
Hello Georges
Thanks for the paper, it is interesting. Of course I support the
proposal for a new geospatial track in ApacheCon 2018 and hope to
participate too.
Section 4.2 (Cloud computing for EO data) mentions the lack of common
API for interacting with the clouds. The section enumerates
authentication, billing, etc. as examples of services for which there is
no common API, but maybe we could add map projections, coverages access
methods, etc. to that list if we envision that some companies may offer
clouds specialized in geospatial data? This section cites web services
(WMS, WCS, WPS) as a common API, but for simple processes like a map
projection, the encoding and decoding parts can count for 90% of the
total execution time. It is possible to avoid that cost in some
situations by standardizing an API at the programming language level, in
addition to web APIs. Inconvenient is that the way to transfer data
become more language-dependent. It would be possible to produce a proof
of concept in OGC test bed 14 as a side-effect of proposed topic on map
projection validations.
Note: I think there is a minor typo in the link to "Big Data from Space
2106 conference"; I presume the intended year was "2016"?
Martin
Le 28/09/2017 à 22:21, George Percivall a écrit :
> The OGC "Big Geo Data" white paper is now public
> http://docs.opengeospatial.org/wp/16-131r2/16-131r2.html
> <http://docs.opengeospatial.org/wp/16-131r2/16-131r2.html>
>
> A key input to the White Paper was the Geospatial Track from the
> Apache Big Data conference from last year.
> https://apachebigdata2016.sched.com/overview/type/Geospatial
> <https://apachebigdata2016.sched.com/overview/type/Geospatial>
>
> Sections 4 and 5 lists ideas suggested for future work to advance the
> big geospatial data.
> One of these ideas to continue and increase engagement with Apache big
> data open source.
>
> When Apache conferences for 2018 are announced it would be good to
> again organize a geospatial track.
>
> Thanks again for your contributions,
> George Percivall
> CTO, Chief Engineer
> Open Geospatial Consortium
>