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Synchronous and Asynchronous Variation of Taxonomic and Phylogenetic Diversity During the Succession of <i>Pinus kesiya</i> var. <i>langbianensis</i> Forest in Yunnan, China. [PDF]
Wang X +10 more
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Spatial Analysis of Agricultural Waste and By-Products to Tackle the Water-Energy Nexus in Rural Mozambique. [PDF]
Mancuso G +4 more
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Discrete Diffraction Managed Spatial Solitons
Physical Review Letters, 2001Physical Review ...
M J, Ablowitz, Z H, Musslimani
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Waste Management in Spatial Environments
2013Introduction Alessio D'Amato, Massimiliano Mazzanti and Anna Montini Part I: The Italian Environment of Waste Management: Spatial analyses, convergence, illegal markets and policy assessments 1. A |Dynamic Assessment of Italian Landfill Taxes Dario Biolcati Rinaldi, Francesco Nicolli, Virginia Turchi and Michela Zappaterra 2.
D'Amato A. +2 more
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Dynamic‐spatial management of coastal aquifers
Optimal Control Applications and Methods, 2009AbstractWe analyze the management of a coastal aquifer under seawater intrusion (SWI) using distributed control methods. The aquifer's state is taken as the water head elevation (vis‐à‐vis sea level, say), which varies with time and in space since extraction, natural recharge and lateral water flows vary with time and in space. The water head, in turn,
Kan, Iddo +2 more
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ACM Transactions on Database Systems, 1979
Spatial data management is a technique for organizing and retrieving information by positioning it in a graphical data space (GDS). This graphical data space is viewed through a color raster-scan display which enables users to traverse the GDS surface or zoom into the image to obtain greater detail.
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Spatial data management is a technique for organizing and retrieving information by positioning it in a graphical data space (GDS). This graphical data space is viewed through a color raster-scan display which enables users to traverse the GDS surface or zoom into the image to obtain greater detail.
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Spatial Information Management
2004Location is an inherent part of business data: organizations maintain customer address lists, own property, ship goods from and to warehouses, manage transport flows among their workforce, and perform many other activities. A majority of these activities entail managing locations of different types of entities, including customers, property, goods, and
Ravi Kothuri +2 more
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Distributed spatial data management
SPIE Proceedings, 2005The complexity of spatial data management will be high as the volume of spatial data increases rapidly. As the emerging technology, it is an innovative method that grid computing technology is applied to manage geographically distributed, autonomous and heterogeneous spatial data.
Hua Liu, De-ren Li, Xin-yan Zhu
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