The explosion of the power and sophistication of computing applications in the past few years has revolutionized the way we live and work. This marked trend is of especial significance for geospatial computing, which directly relates to the very foundations of our society and essentially embraces all the diversification of its activities. Geospatial information, already important in many scientific and engineering disciplines, is increasingly becoming an integral component in consumer-driven technologies. How to further improve or enhance geospatial information processing, organizing, analysis, and visualization? Especially, handling rising flood of digital data from many difference sources puts serious technical and scientific challenges.
With rapid progress of information processing and multiple disciplines, there are more and more promising computing technologies, which could be employed to solve these problems. At present, cloud computing, mobile computing, visual computing / GPU computing, business intelligence, and social computing have been playing key roles in geospatial applications. Some latest computing advancements, such as big data computing, heterogeneous computing, Internet of Things (IoT) / sensor computing, and bio-computing, have great potentials for the effective realization of information processing in the geospatial environment.
This talk highlights the impacts of these current and prospective computing technologies on the future of the geo-world. Our consideration is intended to bring fresh thoughts to explore new directions for geospatial research and development. The talk also provides a vision of the '.geo' term and a combined outlook for both computer and geospatial communities, i.e., how computing technology is changing the landscape of geospatial applications and how diverse geospatial information processing requires the change of various computing technologies.
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By OGC, Microsoft, Oracle, Skyhook Wireless, GE
Energy/MapFrame Mobile Solutions, Skyhook Wireless
What happens when you have connected sensors in everyone's pockets, homes, vehicles, workspaces, street corners, shopping areas, and more? With the convergence of Mobile Computing, the Internet of Things (IoT), and the ability to gather and analyze this Big Data, the availability of massive amounts of information will continue to be gathered and you can expect the unexpected to happen.
The themes of this panel are driving development in information technology, but what is the intersection with geospatial? Location determination and use of location for context are core capabilities of Mobile and IoT. Knowing your location along with nearby Points of Interest (PoIs) and Indoor maps provide a new level of spatial awareness and decision making. This information will be used and viewed in new ways including Augmented Reality (AR). Social computing with geospatial checkins provides a rich picture of the social environment. With embedded computing becoming even more ubiquitous, Sensor Webs will provide opportunistic sensing of the physical environment. Geospatial filtering is one of the most effective methods to extracting information from these big data streams. These streams will continue to grow, e.g., mobile 3D video at incredibly high resolution. Data Fusion to combine multiple data sources will create new capabilities many based on geospatial processing.
How can we realize the full potential of these technological capabilities in regards to geospatial?
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By Microsoft, Nokia, GWU/COM.Geo, Booz Allen Hamilton, U.S. DOT-FAA
The amount of data each organization deals with today has been
rapidly growing. However, analyzing large datasets commonly
referred to as “big data” has been a huge challenge due to lack
of suitable tools and adequate computing resources. Why are
organizations, both in public sector and private sector, so keen
on unlocking business insights from all structured and
unstructured data? What is the current state of big data
solutions and service providers? How effective are some of the
solutions that have been put into real world practices? What’s
the current state of cloud computing technologies? What impacts
have cloud computing technologies available in public clouds and
private clouds had on the way organizations addressing big data
challenges? How to secure big data in the clouds? What are the
future roadmaps for cloud-based big data solutions, especially
for geospatial related applications?
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By ICF International , Air Force Research Laboratory, Booz Allen Hamilton,
The ever growing necessity for Big Data processing within the industry, government, and specially within defense applications causes the need and requirement for the fast development of new technologies. In addition, the protection of Big Data can be a serious problem because security is commonly an afterthought during technology development, and the exponentially increasing rate at which new data is generated presents many challenges.
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Computing for Geospatial Research Institute (COM.Geo)
is one of the leading-edge geospatial computing research organizations in
the world. COM.Geo is playing a guiding role to advancing the technologies
in computing for geospatial research and application fields. COM.Geo R&D
focuses on the latest computing technologies for multidisciplinary research
and development that enables the exploration in geospatial areas. COM.Geo
training center offers the most up-to-date training for working professionals
to boost their technical knowledge and skills of computing for geospatial
technology. COM.Geo conference is an exclusive international event that
connects researchers, developers, scientists, and application users from
academia, government, and industry in both computing and geospatial fields.