In recent years, many geospatial data sets have become available on the Web. These data can be incorporated into real-world applications to answer advanced geospatial queries. In this paper, we present a use case to integrate a local data set with external geospatial data sets on the Web. The data sets are modeled in different paradigms – relational and object-centered. The integration uses Pos...

This policy brief explores the use and expands the conversation on the ability of geospatial technologies to represent Indigenous cultural knowledge. Indigenous peoples’ use of geospatial technologies has already proven to be a critical step for protecting tribal self-determination. However, the ontological frameworks and techniques of Western geospatial technologies differ from those of Indige...

Sensor technology brings the pervasive capability for observing and communicating real-world dynamics, while current GeoWeb lacks a model for scalable aggregation of client-side logic applications that convey and apply these dynamics. This research explores a client-side architectural model, ADIR (short for Aggregating Dynamics, Interaction & Responsiveness), for organizing geospatial logic app...

Geospatial research increasingly relies on shared geospatial data, interconnected models and successively refined analysis which requires not only more powerful but also more accessible cyberinfrastructure systems for support. In this study, we propose to integrate data grid, ontology and Web-based workflow technologies to build more accessible cyberinfrastructure systems for geospatial computi...

Because of definitional problems regarding what is meant by the term “geospatial workforce,” specific reliable data are difficult to obtain about this increasingly important employment sector. This study reviews pertinent literature and U.S. Department of Labor datasets to corroborate the general sense that the geospatial workforce in the U.S. will continue robust expansion well into the next d...

Geospatial information systems are used to analyze spatial data to provide decision makers with relevant, up-to-date, information. The processing time required for this information is a critical component to response time. Despite advances in algorithms and processing power, we still have many “human-in-theloop” factors. Given the limited number of geospatial professionals, analysts using their...

GeOnAS is an extensible, scalable and powerful online geospatial analysis system based on Service Oriented Architecture (SOA), and is designed and implemented with the complementary technologies, Asynchronous JavaScript and XML (Ajax) and Web services, which greatly increase the interactive capabilities of graphical user interfaces and improve the user experience. It provides a highly interoper...

The latest improvements in geo-informatics offer new opportunities in a wide range of territorial and environmental applications. In this general framework, a relevant issue is represented by earthquake early warning and emergency management. This research work presents the investigation and development of a simple and innovative geospatial methodology and related collaborative open source geos...

A lot of work has been done on the geospatial service composition to support advanced processing, spatial calculation, and invoking of heterogeneous data. However, the quality of service chain is rarely considered and the process model cannot be reused. A modeldriven way of geospatial web service composition is proposed in this work, the service composition is treated as an optimization problem...

Information sharing and updates have become increasingly important in the rapidly changing world. However, owing to the distributed and decentralized nature of information collection and storage, it is not easy to use information from different sources synergistically. Ontology plays as an important role in establishing formal descriptions of a domain of discourse. In geographic information sci...