The Peano Count Tree (P-tree) is a quadrant-based lossless tree representation of the original spatial data. The idea of P-tree is to recursively divide the entire spatial data, s...
Qin Ding, Maleq Khan, Amalendu Roy, William Perriz...
Many organizations have large quantities of spatial data collected in various application areas, including remote sensing, geographical information systems (GIS), astronomy, compu...
An important component of spatial data quality is the imprecision resulting from the resolution at which data are represented. Current research on topics such as spatial data inte...
Enterprises in the public and private sectors have been making their large spatial data archives available over the Internet. However, interactive work with such large volumes of ...
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
Spatial Data Infrastructures (SDIs) have been developing in some countries for over 10 years but still suffer from having a relatively small installed base. Most SDIs will soon co...
: Remote sensing and mobile devices nowadays collect a huge amount of spatial data, which have to be analysed in order to discover interesting information about economic, social an...
Operations on spatial objects have much individuality. As a consequence, the spatial data modelling approaches, which have been proposed, have to consider either data types of the...
Topological relationships like overlap, inside, meet, and disjoint uniquely characterize the relative position between objects in space. For a long time, they have been a focus of...
Spatial data are often stored in a database with the finest level of details. The problem of cartographic generalization of spatial data concerns deriving spatial data with proper...