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A Spatial Structure of Key Tree Species <i>Metrodorea nigra</i> St. Hill. (Rutaceae) Is Associated with Historical Disturbance and Isolation in Southeastern Brazil. [PDF]
Moraes Filho RM +4 more
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Going With the Flow? Relative Importance of Riverine Hydrologic Connectivity Versus Tidal Influence for Spatial Structure of Genetic Diversity and Relatedness in a Foundational Submersed Aquatic Plant. [PDF]
Neel MC, Marsden BW, Engelhardt KAM.
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Kinematics and spatial structure analysis of TBM gunite robot based on D-H parameter method. [PDF]
Jia L +7 more
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Age-specificity in territory quality and spatial structure in a wild bird population
Woodman JP +3 more
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Spatial Problem Solving in Spatial Structures
2017The ability to solve spatial tasks is crucial for everyday life and therefore of great importance for cognitive agents. In artificial intelligence (AI) we model this ability by representing spatial configurations and spatial tasks in the form of knowledge about space and time.
Christian Freksa +4 more
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Spatially Oscillating Structures
2010This chapter illustrates applications of nonsmooth argument substitutions to modeling spatially oscillating structures such as one-dimensional elastic rods with periodic discrete inclusions, and two- or three-dimensional acoustic media with periodic nonsmooth boundary sources of waves.
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Structural Spatial Interaction∗
The Professional Geographer, 1993This paper identifies a concept of structural spatial interaction. Although it is defined differently from its counterpart of structural unemployment in economics, it attempts to define a similar idea. In economics, the focus is on equilibrium in the supply and demand of labor.
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2004
For any component in time series analysis (Natke 1983), the concept of covariance between components of a spatially distributed random vector Z(u) leads to: direct covariances, Cov[Zi(u),Zj(u)]; shifted covariances or spatial covariances, Cov [Zi(u), Zj-(u+ h)], also known as cross-covariance functions; and autocovariance functions, Cov[Zi(u),Zi(u + h)]
Vera Pawlowsky-Glahn, Richardo A. Olea
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For any component in time series analysis (Natke 1983), the concept of covariance between components of a spatially distributed random vector Z(u) leads to: direct covariances, Cov[Zi(u),Zj(u)]; shifted covariances or spatial covariances, Cov [Zi(u), Zj-(u+ h)], also known as cross-covariance functions; and autocovariance functions, Cov[Zi(u),Zi(u + h)]
Vera Pawlowsky-Glahn, Richardo A. Olea
openaire +1 more source

