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University of New Orleans Theses and Dissertations
Big Data, Hadoop, Hbase, MapReduce, R, Data Mining, Geographic Information System
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Spatial Data Mining Analytical Environment For Large Scale Geospatial Data, Zhao Yang
Spatial Data Mining Analytical Environment For Large Scale Geospatial Data, Zhao Yang
University of New Orleans Theses and Dissertations
Nowadays, many applications are continuously generating large-scale geospatial data. Vehicle GPS tracking data, aerial surveillance drones, LiDAR (Light Detection and Ranging), world-wide spatial networks, and high resolution optical or Synthetic Aperture Radar imagery data all generate a huge amount of geospatial data. However, as data collection increases our ability to process this large-scale geospatial data in a flexible fashion is still limited. We propose a framework for processing and analyzing large-scale geospatial and environmental data using a “Big Data” infrastructure. Existing Big Data solutions do not include a specific mechanism to analyze large-scale geospatial data. In this work, we extend …