A large family of real-world applications are influenced by geospatial features and known relationships between them. Also, a very large volume of geospatial data is currently available from different sources, prepared for different applications, and with different levels of uncertainty. This paper presents a brief analysis about spatial, thematic, technical and temporal aspects of uncertainty ...

Executive Summary Errors associated with geospatial data can propagate through natural-science (biologic, geographic, geologic, geospatial, and hydrologic) models that utilize raster processing, resulting in significant and spatially variable prediction uncertainty. This inherent prediction uncertainty affects how model results are interpreted by scientists, environmental regulators, resource m...

Geospatial data management is fundamental for many applications including land use planning and transportation and is critical in emergency management. However, geospatial data are distributed, complex, and heterogeneous due to being independently developed by various levels of government and the private sector. Until now, the formulation of expressive queries on geospatial data, which contrast...

Abstract. Governance Assessment Frameworks allow the identification of implementation bottlenecks and they can propose answers to identified challenges. However, no assessment framework has been developed 1) understand how governance factors affect development use geospatial data (GD) 2) comparison across different contexts. Previous research proved that GD are highly interrelated. Understandin...

Geospatial Web services allow to access and to process Geospatial data. Despite significant standardisation efforts, severe heterogeneity and interoperability problems remain. The SWING environment leverages the Semantic Web Services (SWS) paradigm to address these problems. The environment supports the entire life-cycle of Geospatial SWS. To this end, it integrates a genuine end-user tool, a t...

Lots of geospatial data has been collected within the last decades due to advances in digital spatial data capturing technologies and this has brought in different versions of the same data sets. Although various spatial and mapping organizations are updating and revising geospatial databases with new data/information about our rapidly changing environment; there are challenges of how to effect...

Usability and usefulness of geospatial metadata are important success factors in spatial data infrastructures. However, current metadata services concentrate on discovery of geographic datasets and largely ignore users’ needs to evaluate and compare datasets in order to select suitable data for intended uses. This paper reports a user study in a geospatial metadata environment that combined dif...

Grid technology provides secure, fundamental methods for advanced distributed computing and data sharing over the Internet. The technology has been used in applications in many disciplines. However, applications in the geospatial disciplines are just beginning. This paper describes a project that applies Grid technology to the Earth observation environment through the integration of the Globus ...

Geospatial reasoning has been an essential aspect of military planning since the invention of cartography. Although maps have always been a focal point for developing situational awareness, the dawning era of network-centric operations brings the promise of unprecedented battlefield advantage due to improved geospatial situational awareness. Geographic information systems (GIS) and GIS-based de...

The role metadata have played in the management of geospatial datasets has been widely documented (Göbel and Lutze, 1998; Kim, 1999; Tsou, 2002; Limbach et al., 2004). Often employed by institutions to organise, maintain and document their geographic resources internally, metadata can also provide a vehicle for exposing marketable data assets externally when contributed to geospatial exchange i...