Modelling of Spatial Big Data Analysis and Visualization

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Mohamed Hawash, Eman El Amir, Osman Hegazy


Today’s advanced survey tools open new approaches and opportunities for Geoscience researchers to create new Models, Systems and frameworks to support the lifecycle of special big data. Mobile Mapping Systems use LIDAR technology to provide efficient and accurate way to collect geographic features and its attribute from field, whichhelps city planning departments and surveyors to design and update city GIS maps with a high accuracy. It is not only about heterogenic increase in the volume of point cloud data, but also it refers to several other characteristics such as its velocity and variety. However,the vast amount of Point Cloud data gathered by Mobile Mapping Systemleads to new challenges for researches, innovation and business development to solve its five characters: Volume, Velocity, Variety, and Veracity then achievethe Value of SBD. Cloud Computing has provided a new paradigm to publish and consume new spatial models as a service plus big data utilities , services which can be utilized to overcome Point Cloud data analysis and visualization challenges. This paper presentsa model With Cloud-Based Spatial,big data Services,using spatial joinservices capabilities to relate the analysis results to its location on map,describe how Cloud Computing supports the visualizing and analyzing spatial big data and review the related scientific model’s examples.

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How to Cite
, M. H. E. E. A. O. H. “Modelling of Spatial Big Data Analysis and Visualization”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 6, no. 1, Jan. 2018, pp. 86 -, doi:10.17762/ijritcc.v6i1.1385.