Introduction to Big Data Computing for Geospatial Applications

The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates the opportunities for using big data for geospatial applications. Crucial to the advancements highlighted here is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. This editorial first introduces the background and motivation of this special issue followed by an overview of the ten included articles. Conclusion and future research directions are provided in the last section

From Space to Ground Zero: The Application of Geographic Information Systems and Rocket Cargo Transportation to Disaster Management Operations

This paper provides an overview of the application of space-based technologies, specifically Geographic Information Systems (GIS) technology and rocket cargo launches, to disaster management operations. GIS links data from satellites, remote sensing, and other sources to dashboards, allowing relief teams to monitor relevant demographic, environmental, and disaster details. This information supports multiple aspects of planning and decision-making in the preparedness, response, and relief stages of the disaster management cycle. Rocket cargo transportation, an emerging method of shipping supplies, will allow for supplies to be shipped anywhere in the world in under twenty-four hours. This can be used in a future disaster relief scenario through the delivery of supplies in a timely manner. Both GIS and rocket cargo transportation are applied to a hypothetical flooding scenario, demonstrating how these technologies are and would be applied to three of the four disaster management cycle phases