February 7th, 2013
We always like a good challenge. More than once in the last few weeks we have been asked if it is possible to auto generate features – points, lines, polygons – on a mobile device using GPS. So store the path followed using the built in mobile GPS. Then generate a feature from this data. We put our thinking caps on and came up the application you see in the video below
The demo shows the app running on an Android tablet in offline mode. This could just as easily have been an iPad; since we built the app using Mobile Flex which can run on either platform. We first generated a tile package in ArcMap, this forms the offline basemap and is stored on the tablet. Checkboxes in the top left header allow users to select either polygon or line as the final generated feature. Start and stop buttons initiate data collection, and generate the final feature respectively. In the demo we drove around a block; starting and finishing at the same point, so we chose to generate a polygon.
On January 31, 2013 DigitalGlobe, Inc.and GeoEye, Inc. announced the completion of their merger, creating one global leader in earth imagery and geospatial analysis, under the name DigitalGlobe. According to the press release, the combined company will trade on the NYSE stock exchange as DigitalGlobe under the symbol DGI. Based on the closing price of DigitalGlobe stock on January 30, 2013, the combined company has a market capitalization of $2.1 billion.
This story I wrote in July 2012 recounts the background of the two companies up to that time.
GeoEye and DigitalGlobe plan to merge
DigitalGlobe’s WorldView-3 satellite is still scheduled for launch in mid-2014.
Last year, Urban and Regional Information Systems Association (URISA) held its GIS-Pro 2012 symposium, which featured a keynote address by geospatial visionary Michael F. Goodchild.
Although recently retired, Goodchild served as a Professor of Geography at the University of California, Santa Barbara; Chair of the Executive Committee, National Center for Geographic Information and Analysis (NCGIA); Associate Director of the Alexandria Digital Library Project; and Director of NCGIA’s Center for Spatially Integrated Social Science.
In his keynote address, Goodchild discussed how far the geospatial sector has come since Al Gore laid his vision for geospatial technologies in 1998, which promoted a virtual reality world where children could go to a museum and enjoy interactive exhibits that zoom in on the earth down to scale and be able to add layers. This was a full seven years before Google Earth came to fruition.
“With low-cost developer’s tools becoming available, geofencing is finally coming out of the shadows, moving beyond traditional location-based applications, to form the backbone of a host of new applications and services.
As the back-end complexities of supporting location-based services continues to escalate, developers are increasingly turning to platform providers such as carriers, Google, Qualcomm, Esri, Urban Airship, and others to provide an easy, scalable geofencing service. In its report, “Geofencing: Technologies, Applications, and Revenue Strategies”, ABI Research investigates the full range of carrier and smartphone applications that will utilize geofencing in the coming years, including retail, enterprise, push notification, local search, social networking, ambient intelligence, etc”
The need to scale geospatial data production capabilities continues to increase, as technologies once segmented become integrated. Large organizations need to react to rapid global changes with smart decision-making. This requires advanced remote sensing analysis and spatial modeling to make data truly actionable.
Intergraph recently launched ERDAS IMAGINE 2013 as part of the Intergraph Geospatial Portfolio 2013. ERDAS IMAGINE equips users to create new information by visualizing results in 2D, 3D, movies, and on cartographic-quality map compositions.
This release expands sensor support and offers a wide array of new features, including a suite of tools for handing point clouds and a next-generation spatial modeler.
The new point cloud suite enables users to simultaneously view point clouds in 2D and 3D and user defined profiles as well as providing advanced editing and analysis capabilities.
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