This year LocationTech is again serving as the organizers of the FOSS4G NA conference. Through this event we are proud to showcase the incredible projects, companies and community members that make the geospatial ecosystem one of the fastest growing in the technology sector. The biggest software projects, top developer talent, most innovative Government agencies and hottest companies meet every year at FOSS4G NA to share their expertise, grow their businesses and promote their products. LocationTech projects and members are proud participants and sponsors. Join us! Don’t miss this chance to showcase your company to users, policy makers and customers. Contact us at email@example.com for a customized package.
The hottest open source software projects, top developer talent, most innovative Government agencies and biggest companies meet every year at FOSS4G NA to share their expertise, grow their projects and promote their work. Join them in St Louis on May 14-17 for the geospatial event of the year! Register now to take advantage of reduced ticket prices and 1st choice on workshops.
Reserve your ticket at https://2018.foss4g-na.org/registration
The FOSS4G NA 2018 program is shaping up to be an all star line up of the coolest open source geospatial technologies, most innovative companies and passionate developers and community members. The full program will be released soon. Find out more here!
To ensure as many people as possible have the ability to attend this incredible event, we are proud to be offering a number of discounts and special offers to keep registration as low as possible. One of the biggest discounts is EARLY BIRD pricing and the discounted room block offered by the Hilton. This offer ends MARCH 9, 2018. Register now!
The Call for Papers closes on February 8th! Be sure to get you abstract in as soon as possible to ensure your presentation proposal is considered. Space is limited and demand is high so feel free to put in more than one submission to increase your chances of getting approved. You can find out more about the tracks and topics here.
• What we'll do
The MeetUp will be held on Google Hangouts and you will be able to watch the live stream directly on YouTube.
This is a virtual Meetup occurring at 11AM Eastern Time (8AM Pacific Time, 5PM Central European Time). For help with your timezone calculation, refer to this (https://time.is/compare/0800_30_Jan_2018_in_PT).
JOIN THE WEBINAR HERE:
Join the conversation: #VirtualEclipse
Presenter: Michael Whitby
Host: Stephanie Swart
GeoWave is a software library that connects the scalability of distributed computing frameworks and key-value stores with modern geospatial software to store, retrieve and analyze massive geospatial datasets. GeoWave takes multidimensional data, such as spatial or spatial-temporal, and indexes it into a key-value store such as Apache Accumulo or Apache HBase. These distributed storage technologies, in addition to complementary distributing processing frameworks such as Apache Hadoop and Apache Spark, have proven capabilities to unlock the potential of massive datasets across a variety of domains.
In this discussion, we will give a high-level overview of how the GeoWave framework works to reduce the time needed to process, analyze and render data by multiple orders of magnitude. These demos are designed to help developers who would like to take advantage of the benefits of distributed computing when working with geospatial data. We will use GeoWave to ingest multiple data types and then perform various analytics on that data. We will also go over the robust cli commands in the GeoWave framework as well as GeoWave’s integration with GeoServer and our many deployment options.
Michael Whitby is a Software Engineer in the Radiant Solutions group of Maxar Technologies. He works on the GeoWave open source project and has had his writing about the framework published in Advances in Spatial and Temporal Databases. He is a U.S. Navy veteran and received his master’s in Software Engineering from Pennsylvania State University.
LocationTech, an Eclipse Foundation Working Group and a community that builds software for geospatial technology, is pleased to announce the release of five open source projects that provide core technology used to build geospatial big data analytics solutions. These project releases reflect the growing commitment of the LocationTech community to be a leading source of innovation for the geospatial industry.
LocationTech is an open source community that provides technology for the $500 billion worldwide geospatial industry. For instance, LocationTech projects can be used to efficiently process satellite images, analyze maps for the agriculture industry, visualize smart city sensor data, and in many other geospatial use cases. The community is a collaboration among key geospatial organizations, including Boundless, Red Hat, Radiant Solutions, IBM, and Oracle. The LocationTech community has grown to include nine open source projects, 18 member organizations, and over 100 developers.
“Geospatial big data analytics technology is becoming more and more important across all industries, such as agriculture, transportation, and government,” explains Mike Milinkovich, executive director of the Eclipse Foundation. “LocationTech is delivering on the promise of providing key technology for companies that enable large-scale analytics of geospatial data. Having an open source community, like LocationTech, that accelerates adoption and innovation of geospatial technology will have a significant impact on the entire industry.”
The vision of the LocationTech community is to be the leading provider of core technology for geospatial big data analytics. The five projects being released reflect the growing investment towards achieving this vision. The new project releases include the following:
- GeoWave is a software library that connects the scalability of distributed computing frameworks and key-value stores with modern geospatial software to store, retrieve, and analyze massive geospatial datasets. GeoWave takes multidimensional data, such as spatial or spatial-temporal, and indexes it into a key-value store such as Apache Accumulo or Apache HBase. These distributed storage technologies, in addition to complementary distributing processing frameworks such as Apache Hadoop and Apache Spark, have proven capabilities to unlock the potential of massive datasets across a variety of domains.
- GeoGig 1.2 is a tool for geospatial data versioning. It enables users to leverage versioning of their geospatial data and to enable replication and synchronization workflows, in addition to supporting end-to-end data management workflows. The new GeoGig 1.2 release improves the collaborative version workflow by improving cloning and push/pull performance and provides an updated Web API to align with the latest version of GeoServer.
- GeoTrellis 1.2 is a geographic data processing Scala library designed to work with large geospatial raster datasets. The tool provides developers with a set of utilities to help create useful, high performing web services that load and manipulate raster data (data normally used to represent satellite or aerial images). The new release includes a number of optimizations and new features including distributed computation support for viewshed and Euclidean distance through Apache Spark
- GeoMesa 1.3.5 is a distributed, spatio-temporal database built on a number of distributed cloud data storage systems, including Apache Accumulo, Apache HBase, Apache Cassandra, and Apache Kafka. The suite of tools brings spatial-temporal data, real-time IoT, and sensor workloads to the cloud. GeoMesa’s novel indexing schema enables efficient queries resulting in rapid access to large data stores for any client application.
- Java Topology Suite (JTS) 1.15 is a Java library for vector geometry providing spatial data types, spatial relationships and spatial operations. JTS is an established open source project that recently moved to the LocationTech community. New technical features for JTS 1.15 include K-Nearest Neighbor search for STR-Tree, improved handling of Quadtree queries, support for GeometryCollection, and a new JTSTestRunner command-line application. This initial LocationTech release the project is changing from LGPL to a dual license of Eclipse Distribution License (EDL) / Eclipse Public License (EPL) . This license change opens up JTS to a wider range of organizations and applications.
“LocationTech is becoming the critical nexus for organizations looking to develop and deploy geospatial Big Data solutions,” says Eddie Pickle, Managing Director of Open Source Programs at Radiant Solutions.
"The latest release of GeoGig to LocationTech represents a huge leap forward. Not only does it support versioning workflows for traditional geospatial data, but it is now optimized for spatio-temporal analysis of big data and streaming datasets from IoT sensors,” says Anthony Calamito, Chief Geospatial Officer and Vice President of Products
Additional information about the five project releases and the other LocationTech projects is available at https://www.locationtech.org/list-of-projects
The LocationTech Working Group is also organizing the annual FOSS4G NA conference on May 14-16, 2018 in St. Louis, Missouri, followed by a Community Day on May 17. Members of the LocationTech community will be speaking and showcasing the open source projects at this conference.
About the Eclipse Foundation
The Eclipse Foundation is a not-for-profit organization that supports a community for individuals and organizations who wish to collaborate on open source software. There are over 300 open source projects with the Eclipse Foundation, ranging from tools for software developers, geo-spatial technology, system engineering and embedded development tools, frameworks for IoT solutions, tool for scientific research, and much more. Eclipse Foundation Working Groups allow organizations to collaborate on building innovative new technology to meet specific industry needs. More information is available at eclipse.org.
Call for Papers: FOSDEM 4-6 Feb 2018, Brussels
For the 4th time there is a Geospatial devroom at FOSDEM 2018 on Sunday 4/2/2018!
FOSDEM is a free non-commercial event bringing together 8000+ open source software developers and communities in Brussels, Belgium. Participation is free of charge (donations welcome). The next edition will take place on 3-4 February 2018.
Next to more traditional spatial technology, are specially invited :
* Collaborative editing / versioning of geodata & metadata;
* Collection of data using sensors / UAVs / satellites;
* Geo-analytic algorithms / libraries;
* Big geodata, distributed & scalable GIS applications;
HOW TO SUBMIT YOUR PROPOSAL FOR A TALK
Like to run a discussion, present your work, any other ideas? Submit your proposal at: https://fosdem.org/submit
Make sure to select the 'Geospatial devroom' as 'Track'. If you have an account from previous years, you should be using the same.
Please specify in the notes if you prefer a short timeslot (lightning talks ~10 min) or a long timeslot (20 min presentation + discussion). Note that time slots are indicative and will be assigned according to the timing of the session.
The DEADLINE for submissions: Thursday 1st December 2017
Notification of acceptance will be sent to the Authors by 11/12/2017 at the latest.
For questions, please get in touch with the organizers at gisky.be!
Check out the videos and presentations of our previous editions.
Organizers: Johan Van de Wauw, Margherita Di Leo, Anne Ghisla, Martin Hammitzsch, Marc Vloemans
"In 2017, GIS is now moving in new and exciting directions. The industry has become more outward looking and more open to new opportunities than ever before. The current deluge of big-data (from IoT, social media, tracking, and other apps) requires spatially-aware big-data platforms which are capable of performing geospatial analytics on cloud and distributed computing systems.While there are numerous commercial products on the market, this short article will give an overview of three powerful open-source standards-based systems which are turning often unassuming geospatialists into big data superheros!"