Most information includes some kinds of spatial data such as the address of a restaurant and the position of a person carrying a portable phone. The spatial data are useful as met...
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
Geographic Information Systems (GIS) showed their insufficiencies in front of complex requests for decision-makers. Resulting of the association of the databases and the decision-m...
Statistical models fit to data often require extensive and challenging re-estimation before achieving final form. For example, outliers can adversely affect fits. In other cas...
Center for Spatial Information Science (CSIS) has developed and run our own Clearinghouse[1] for various academic researchers to share spatial data since 1999. This paper presents...
This paper reports on the development of a novel mixed reality I/O device tailored to the requirements of interaction with geo-spatial data in the immediate environment of the use...
Data warehouses and OLAP systems help to interactively analyze huge volume of data. This data, extracted from transactional databases, frequently contains spatial information whic...
Sandro Bimonte, Anne Tchounikine, Maryvonne Miquel
During the last decade various spatial data structures have been designed and compared against each other with respect to their performance. Still missing is a lower bound result,...
Uncertainty management for geometric data is currently an important problem for (extensible) databases in general and for spatial databases, image databases, and GIS in particular...
The National Cancer Institute (NCI) is collaborating with the National Library of Medicine (NLM) to create a database of digitized images of the uterine cervix for research, train...
Jose Jeronimo, Mark Schiffman, L. Rodney Long, Lei...