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 …

Environmental modelling often requires a long iterative process of sourcing, reformatting,
analyzing, and introducing various types of data into the model. Much of the data to be …

Internet of Things (IoT) in urban transportation systems have been ubiquitously embedded
into a variety of devices and transport entities. The IoT-enabled smart transportation system …

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 …

Several real-world applications involve the aggregation of physical features corresponding
to different geographic and topographic phenomena. This information plays a crucial role in …

Efficient management of natural disasters impose great research challenges to the current
environmental crisis management systems in terms of both architecture and services. This is …

This essay assesses the evolution of the way in which spatial data analytical methods have
been incorporated into software tools over the past two decades. It is part retrospective and …

The advances in data collection techniques and geosimulation models have contributed to
the abundance of geospatial data in urban systems. The surveillance of urban traffic systems …