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 …

A Cyberinfrastructure (CI) is a combination of data resources, network protocols, computing
platforms, and computational services that brings people, information, and computational …

The geospatial sciences face grand information technology (IT) challenges in the twenty-first
century: data intensity, computing intensity, concurrent access intensity and spatiotemporal …

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 …

To design and implement an open-source parallel GIS (OP-GIS) based on a Linux cluster,
the parallel inverse distance weighting (IDW) interpolation algorithm has been chosen as an …

Contemporary physical science studies rely on the effective analyses of geographically
dispersed spatial data and simulations of physical phenomena. Single computers and …

An exploration of the benefits of cloud computing in geoscience research and applications
as well as future research directions, Spatial Cloud Computing: A Practical Approach …

With the advancement of GIS technology since its inception in 1960's, many educational
institutions, government departments, public/private sectors and individuals have started its …

The roll-out of 5G infrastructure can provide enhanced high capacity, low latency
communications enabling a range of new use cases. However, to deliver the improvements …

Air quality is one of the major issues within an urban area that affect people's living
environment and health conditions. Existing observations are not adequate to provide a …