Disaster prevention and management is a complicated task that often involves a tremendous volume of heterogeneous data from various resources. With its dynamic and distributed nat...
an abstract model for information sharing and integration and use it to develop an architecture for building open, component-based, interoperable systems. A geographic information ...
Geospatial data is often used to predict or recommend movements of robots, people, or animals ("walkers"). Analysis of such systems can be combinatorially explosive. Eac...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
Geospatial data sharing is an increasingly important subject as large amount of data is produced by variety of sources, stored in incompatible formats, and accessible through diffe...
The Internet creates an environment suitable to spatial data share, allowing the users to transmit, visualize, manipulate and interact with them. This environment not only allows n...
David Cavassana Costa, Mario Meireles Teixeira, An...
The games with a purpose paradigm proposed by Luis von Ahn [9] is a new approach for game design where useful but boring tasks, like labeling a random image found in the web, are ...
Sebastian Matyas, Christian Matyas, Christoph Schl...
Geospatial information (GI) constitutes a significant portion of available data and are a key factor in planning and decision-making in a variety of domains,such as emergency man...
This paper explores combining OGC and Grid technologies for geospatial data sharing. OGC and Grid technologies have different focuses: OGC technologies focus more on interface spe...
We have developed a technique, Aggregate Towers, that allows geospatial data to be visualized across a range of map scales. We use a combination of data aggregation algorithms and...
Harnessing the potential of today’s ever growing and dynamic geospatial data requires the development of novel visual analysis interfaces, tools and technologies. In this paper,...
Luciano Nocera, Arjun Rihan, Songhua Xing, Ali Kho...