Information systems built using standards‐based distributed services have become the default computing paradigm adopted by the geospatial community for building information infrastructures also known as Spatial Data Infrastructures (SDI). Government mandates such as the INSPIRE European Directive recommend standards for sharing resources (e.g. data and processes) with the goa...

Visualization refers to various types of graphic representation of geospatial information ranging from static to dynamic presentation (cartographic visualization), to exploratory data analysis (scientific visualization). Visualization projects carried out by Natural Resources Canada focus primarily on the former: web-based, interactive, dynamic representation of information, suitable for effect...

In recent years, the visualization of geospatial data has undergone dramatic and important developments. Next to static maps, nowadays, immersive and highly interactive virtual environments can be used to explore and present dynamic geospatial data. Additionally, the World Wide Web has developed into a prominent medium to disseminate geospatial data and maps. In visualizing geospatial data, met...

With the widespread deployment of ground, air and space sensor sources (internet of things or IoT, social networks, sensor networks), the integrated applications of real-time geospatial data from ubiquitous sensors, especially in public security and smart city domains, are becoming challenging issues. The traditional geographic information system (GIS) mostly manages time-discretized geospatial...

1. OBJECTIVES The overall objective of this proposal is to model and mine geospatial (GS) patterns in multijurisdiction and multi-temporal (MJMT) datasets to accurately track, monitor, and predict human activities. Several scientific and technical challenges arise when modeling GS patterns in MJMT datasets due to the spatio-temporal nature and heterogeneity of datasets. These represent major ba...

Many techniques have been proposed for visualizing uncertainty in geospatial data. However previous empirical research on the effectiveness of visualizations of geospatial uncertainty has focused on user intuitions rather than objective measures of performance when reasoning under uncertainty (MacEachren, et. al, 2012). In two experiments, we examined the effectiveness of four alternative visua...

With regarding to web GIS, OGC promotes WFS allowing a client to retrieve geospatial data encoded in GML which is a modeling language to encode the semantics, syntax and schema of geospatial information resources. Even though GML provides benefits for geographic description, it is too heavy to be processed by mobile devices. In order to address the issue, this paper evaluates GML service with W...

Work Package WP 2, Semantics‐Based Geospatial Information Management Task T 2.2 Type Prototype Approval Status Final Version 1.0 Number of Pages 46 Filename D2.2.1_Integration_of_external_geospatial_databases.pdf Abstract: This document presents two tools, Sparqlify and TripleGeo, for transforming geospatial data from several conventional formats, into RDF triples, compliant with several standa...

The North Carolina Geospatial Data Archiving Project (NCGDAP) is a three-year joint effort of the North Carolina State University Libraries and the North Carolina Center for Geographic Information and Analysis focused on collection and preservation of digital geospatial data resources from state and local government agencies. NCGDAP is being undertaken in partnership with the Library of Congres...