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The last decade has seen a tremendous increase in the availability of detailed and thus massive terrain data, mainly due to advances in mapping technologies such as airborne LIDAR. The full potential of the detailed data is not being utilized because most current software applications have problems handling the massive data sets. SCALGO software eliminates these problems and unlocks the full potential of the detailed data. The problems of most current software stem from the use of inefficient algorithms, and they often result in cumbersome workflows (i.e. the need for breaking data into tiles for individual processing and with subsequent tile-reintegration complications), ill-specified output (e.g. because of the need for use of heuristic solutions) and/or use of only part of the available data (e.g. because detailed data has to be coarsened/thinned to make it small enough to be processed). SCALGO technology utilizes novel mathematical and algorithmic techniques, which are a result of more than two decades of basic and applied research on handling massive datasets. As a result, the unique advantages of SCALGO software include: efficient handling of massive terrain datasets even on a normal workstation, proven efficiency on all datasets independent of exact input data configuration, facilitating the use of full-resolution data, avoiding problems such as data thinning, simplifying the workflow for example by removing the need for data tiling, and delivering fully-specified output leading to more reliable results.
The last decade has seen a tremendous increase in the availability of detailed and thus massive terrain data, mainly due to advances in mapping technologies such as airborne LIDAR. The full potential of the detailed data is not being utilized because most current software applications have problems handling the massive data sets. SCALGO software eliminates these problems and unlocks the full potential of the detailed data.
The problems of most current software stem from the use of inefficient algorithms, and they often result in cumbersome workflows (i.e. the need for breaking data into tiles for individual processing and with subsequent tile-reintegration complications), ill-specified output (e.g. because of the need for use of heuristic solutions) and/or use of only part of the available data (e.g. because detailed data has to be coarsened/thinned to make it small enough to be processed).
SCALGO technology utilizes novel mathematical and algorithmic techniques, which are a result of more than two decades of basic and applied research on handling massive datasets. As a result, the unique advantages of SCALGO software include:
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Source: Pew Internet - http://pewinternet.org/Commentary/2012/February/Pew-Internet-Mobile.aspx
http://pewinternet.org/Reports/2013/Smartphone-Ownership-2013.aspx