The pressure of opening access to public sector geospatial information traditionally managed within disparate spatial data infrastructures (SDI) is driven by a combination of factors. These factors include the adoption of open data programs and the need to integrate spatial data across sectors and levels of government for specific applications. Informed by the success of the Linked Open Data co...

The ability to deliver sustainable development is a significant issue for countries world-wide and the use of correct, current and integrated spatial information about the built and natural environments is paramount to this. SDIs have become crucial tools in facilitating how spatial data and spatial information are used. Initially SDIs were implemented as a mechanism to facilitate access and sh...

Geospatial data availability, interoperability, and integration remain a problem today. Current spatial data infrastructures (SDIs) are of limited use particularly to non-expert user communities. GeoBrain, a NASA funded project, has aimed to address those challenges, facilitate easy use of geospatial data and overcome some limitations of current SDIs through building a data-intensive, Serviceor...

Spatial Data Infrastructures (SDIs) are envisioned to increase efficiency, transparency and equity, but realising this potential has proven problematic. We argue that insights from studies of large-scale, integrated but distributed information systems, dubbed "information infrastructures," are applicable. This perspective may help address an important dimension of SDIs: their character of being...

This paper addresses two central questions relating to the future of spatial data infrastructures (SDIs) Where have we got to now? Where should go from here? The answers to the first question are to be found in a review of the main milestones of SDI development over the last two decades and a comparative evaluation of SDI experiences in different parts of the world which constitutes the first m...

The implementation of Spatial Data Infrastructures (SDIs) for governments and companies is a task that has gained ample attention in recent years. Different categories of spatial software such as desktop GIS, server GIS, web map servers, spatial database management systems, web map development toolkits, etc., are required to realize the software components of an SDI. We catalogue a (selected) v...

The system dynamics technique has been demonstrated to be a proper method by which to model and simulate the development of spatial data infrastructures (SDI). An SDI is a collaborative effort to manage and share spatial data at different political and administrative levels. It is comprised of various dynamically interacting quantitative and qualitative (linguistic) variables. To incorporate li...

Spatial Data Infrastructure (SDI) is a concept that aids in discovering, sharing, and using geospatial data. Nevertheless, given the breadth of this concept, several ways of developing SDI have emerged. The International Cartographic Association (ICA) has proposed a formal model to describe SDIs irrespective of technologies and implementations by using three of the five viewpoints of the RMODP ...

In the last couple of years there have been two very different attempts to evaluate the performance of large scale spatial data infrastructures (SDIs). The first of these was in the United States of America where the Coalition of Geospatial Organizations (COGO), a consortium of professional organisations, set up an expert panel to produce a report card of the performance of the US NSDI. The sec...

Differentiated service approach has been proposed as a potential solution to provide Quality of Services (QoS) in the next generation Internet. The ultimate goal of end-to-end service differentiation can be achieved by complementing the network-level QoS with the service differentiation at the Internet servers. In this paper, we have presented a detailed study of the performance of service diff...