A geospatial catalogue service provides a network-based meta-information repository and interface for advertising and discovering shared geospatial data and services. Descriptive information (i.e., metadata) for geospatial data and services is structured and organized in catalogue services. The approaches currently available for searching and using that information are often inadequate. Semanti...

Huge volumes of geospatial data have been collected by both public and private sectors. In order for the geospatial data to be useful, information has to be extracted from the data and converted to knowledge. However, currently it is very difficult for most of users to obtain the geospatial data and to turn them into useful information and knowledge. In order for geospatial information and know...

Technically the spatial non-interoperability problem associated with current geospatial processing systems can be categorized as data and access non-interoperability. In GIS community, Open GIS Consortium (OGC) geospatial Web services have been introduced to overcome spatial noninteroperability problem associated with most geospatial processing systems. At the same time, in Information Technolo...

The surge in availability of geospatial data sources, the increased use of crowdsourced maps and the advent of geospatial mashups have brought us to an era where geospatial information is delivered to users after integration from diverse sources. Understanding the provenance of geospatial data is crucial for assessing the quality of the data and addressing whether to trust the information or no...

This paper presents the work performed for the implementation of the geospatial product virtualization in the Grid environment. A virtual geospatial product is a product that does not exist in a geospatial data system but the system knows how to create such a product when a user requests the product. We use a two-step approach to the implementation. The first step is to represent a virtual geos...

Organizations that leverage their increasing volume of geospatial data have the potential to enhance their strategic and organizational decisions. However, literature describing the best techniques to make decisions using geospatial data and the best approaches to take advantage of geospatial data’s unique visualization capabilities is limited. This paper reviews the use of geospatial visualiza...

Provisioning of virtual machines for efficient geospatial query management on cloud is an interesting and challenging work. The aim of this paper is to distribute workloads of different types of spatial queries into suitable virtual machine efficiently. To increase the effectiveness of the system serving geospatial queries, we use real-time geospatial query pattern learning methodology. This me...

Geospatial images, such as maps and aerial photographs, are important sources of spatial knowledge that people use for wayfinding. The rapid development of geodata acquisition and digital graphics has recently led to rather complete geographic coverage of both traditional and novel types of geospatial images. Divergent types of geospatial images vary in their support of human acquisition of spa...

The complex and proprietary nature of geospatial data makes them almost non-sharable among large user community. GIS interoperability is necessary for realizing a successful spatial data infrastructure. With the advancements of web service technology, GIS interoperability has made a paradigm shift – from monolithic GIS providers to distributed geospatial services. The applicability of web servi...

Producing and updating geospatial data is expensive and resource intensive. Hence, it becomes crucial to be able to integrate, repurpose and extract added value from geospatial data to support decision making and management of local, national and global resources. Spatial Data Infrastructures (SDIs) and the standardisation efforts from the Open Geospatial Consortium (OGC) serve this goal, enabl...