Handbook of discrete and computational geometry
Topology in Raster and Vector Representation
Geoinformatica
Data Management: NetCDF: an Interface for Scientific Data Access
IEEE Computer Graphics and Applications
Efficient Execution of Operations in a DBMS for Multidimensional Arrays
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Gridfields: model-driven data transformation in the physical sciences
Gridfields: model-driven data transformation in the physical sciences
Spatial Data Modelling for 3D GIS
Spatial Data Modelling for 3D GIS
Data structure properties for scientific computing: an algebraic topology library
Proceedings of the 8th workshop on Parallel/High-Performance Object-Oriented Scientific Computing
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In geoservices, coverages denote space-time varying extended phenomena. Examples include sensor observation time series, raster images (like hyperspectral satellite imagery), and climate and ocean data. Coverage properties include both topological (e.g., neighborhood) and geometrical (e.g., resolution) elements. Obviously, it is paramount for open geoservices to have a well-defined coverage data model which can lead to a more efficient processing of spatial queries. The representation model proposed here is based on the cw-complex notion and adds a geometrical realization to each topological primitive in the cw-complex. This model can capture structured coverages such as raster grids and unstructured coverages such as triangulated irregular networks (TINs). Also, this model provides a conceptual model for manipulating coverages in scientific database systems.