The digital revolution of Earth-system science
Computational science is crucial for delivering reliable weather and climate predictions.
However, despite decades of high-performance computing experience, there is serious …
However, despite decades of high-performance computing experience, there is serious …
Big Data and cloud computing: innovation opportunities and challenges
Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …
and opportunities to improve and/or enable research and decision-support applications with …
Taking the pulse of COVID-19: A spatiotemporal perspective
The sudden outbreak of the Coronavirus disease (COVID-19) swept across the world in
early 2020, triggering the lockdowns of several billion people across many countries …
early 2020, triggering the lockdowns of several billion people across many countries …
Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing?
The geospatial sciences face grand information technology (IT) challenges in the twenty-first
century: data intensity, computing intensity, concurrent access intensity and spatiotemporal …
century: data intensity, computing intensity, concurrent access intensity and spatiotemporal …
Constructing gazetteers from volunteered big geo-data based on Hadoop
Traditional gazetteers are built and maintained by authoritative mapping agencies. In the
age of Big Data, it is possible to construct gazetteers in a data-driven approach by mining …
age of Big Data, it is possible to construct gazetteers in a data-driven approach by mining …
[HTML][HTML] Utilizing cloud computing to address big geospatial data challenges
Big Data has emerged with new opportunities for research, development, innovation and
business. It is characterized by the so-called four Vs: volume, velocity, veracity and variety …
business. It is characterized by the so-called four Vs: volume, velocity, veracity and variety …
Big Spatiotemporal Data Analytics: A research and innovation frontier
Big Data have emerged and become the norm in the past decade with its well-known 4V
challenges and now adds value (a 5th V) for scientific research and the development of new …
challenges and now adds value (a 5th V) for scientific research and the development of new …
Organizing the aggregate: Languages for spatial computing
As the number of computing devices embedded into engineered systems continues to rise,
there is a widening gap between the needs of the user to control aggregates of devices and …
there is a widening gap between the needs of the user to control aggregates of devices and …
The emergence of spatial cyberinfrastructure
Cyberinfrastructure integrates advanced computer, information, and communication
technologies to empower computation-based and data-driven scientific practice and …
technologies to empower computation-based and data-driven scientific practice and …
A cloud-enabled automatic disaster analysis system of multi-sourced data streams: An example synthesizing social media, remote sensing and Wikipedia data
Social media streams and remote sensing data have emerged as new sources for tracking
disaster events, and assessing their damages. Previous studies focus on a case-by-case …
disaster events, and assessing their damages. Previous studies focus on a case-by-case …