A Cloud Computing Approach to On-Demand and Scalable CyberGIS Analytics

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Provided by: University of Chester
Topic: Cloud
Format: PDF
Spatial data analysis has become ubiquitous as Geographic Information Systems (GIS) are widely used to support scientific investigations and decision making in many fields of science, engineering, and humanities (e.g., ecology, emergency management, environmental engineering and sciences, geosciences, and social sciences). Tremendous data and computational capabilities are needed to handle and analyze massive quantities of spatial data that are collected across multiple spatio-temporal scales and used for diverse purposes. CyberGIS has emerged as a new-generation GIS based on advanced cyber-infrastructure to seamlessly integrate such capabilities into scalable geospatial analytics and modeling tools.
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