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descriptive and prescriptive modeling are here proposed to devise general and comprehensive spatial information systems, which broaden the...from the low level geometric model. prescriptive modeling involves two aspects: exploration and generation. exploration of a high level description of spatial data is performed to allocate stated...
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...resolution is a relevant issue in several applications involving spatial data handling. also, dimension-independence is becoming fundamental in many application contexts. we propose a unifying model for multiresolution description of spatial data which works in arbitrary dimension. graph-based representations...
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...digital forestry platform was introduced and special requirements of spatial data discovery were analyzed in this platform. the hierarchical and distributed architecture of spatial data discovery was put forward. global...has realized multi-perspective view data and service display, data and service automatic match and on-demand data service. thus, it meets special...
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...extreme resource constraints - energy, storage and processing - and spatio-temporal interpretation of the physical world in the design, cost model, and metrics of evaluation. we describe...provides a unified view of data handling in sensor networks, incorporating long-term storage, multi-resolution data access and spatio-temporal pattern mining....
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...user requirements determine remote geo-data processing as a need. in this paper a description is given of an application aiming at providing spatial data processing functions on the internet is implemented using topographic data. in this framework, an architecture with the capability of services such as mapping, analyzing spatial data and dynamical visualization of results through...
Published in 2000.
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...have collected large amounts of spatially referenced data in various application areas such as geographic information systems (gis), banking and retailing. these are valuable mines...is only based on tabular data and does not exploit geographical location. using the accident data, combined to trend data relating to the road network...
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...one of the key issues in terms of data integration and interoperability of spatial data handling. profound knowledge about the content and quality of data is especially helpful when dealing...attribute accuracy, completeness, logical consistency, and lineage - and supplemented later by the elements of semantic accuracy and temporal information (morrison, 1995). whereas...
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... digital spatial data is an attempt to model and describe the real world for use in computer analysis and graphic display
of information. to...be fully documented. as geo-spatial data producers and users handle more and more data, proper documentation will provide
them...
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...dynamic nature of the world, and an incompletely known environment. we present a probabilistic spatial data model capable of describing relevant spatial data, such as object location, shape, composition, and other parameters, in the presence of uncertainty. uncertain spatial information is modeled through continuous probability distributions on...
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...describing video content is tedious and not practical for the video data due to the temporal, spatial, and massive characteristic of the video, meanwhile content description always depends on users' interpretation. our video descriptionmodelis based on "object-oriented model based on prototypes"which is proposed in the object- oriented programming field...