Results 141 to 150 of about 46,717 (195)

SPATIAL VARIATION IN ABUNDANCE CREATED BY STOCHASTIC TEMPORAL VARIATION

Ecology, 1997
A central question in ecology is explaining spatial variation in the abundance of species. Patterns of spatial variation in abundance can often be explained by spatial variation in the environment, including resource availability, climatic variables, and other factors that influence a species’ reproduction and survival. We show that spatial patterns in
Anthony R. Ives, Eric D. Klopper
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Mimas’ far-UV albedo: Spatial variations

Icarus, 2012
We present Cassini Ultraviolet Imaging Spectrograph (UVIS) observations of Mimas at far-ultraviolet wavelengths (170–190 nm) which show an interesting albedo gradient across the anti-saturnian hemisphere. We discuss the photometric behavior of Mimas in the far-UV and review the important exogenic processes and their expected effects, relevant over a ...
Hendrix, A., Cassidy, T., Buratti, B., Paranics, C., Hansen, C., Teolis, B., Roussos, E., Bradley, E., Kollmann, P., Johnson, R.   +9 more
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Hydroclimate spatial variations

2008
Spatial scale Hydroclimate displays notable variations from place to place in response to multiple influences exerted by the Earth's climate system on the hydrologic cycle. These spatial variations exist on a continuum and produce an infinite number of hydroclimatic expressions.
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Spatial variations in seismic motions

Canadian Journal of Civil Engineering, 1976
A method for evaluating the spatial variations in strong seismic motions for a linear, homogeneous, and horizontally stratified soil layer system is presented. The procedure accounts for the focal depth and the epicentral distance, the corresponding angle of incidence, and the relative contributions of both shear and Rayleigh waves.
G. P. Nair, J. J. Emery
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Spatial variation in liquefaction risk

Géotechnique, 1998
Basic concepts and methods of random field theory, useful for characterizing 'distributed disordered systems', are applied to a soil deposit to evaluate the spatial extent of liquefaction under typical conditions. The soil deposit, modelled after a site located at the Wildlife Management Area in California, is represented by a three-dimensional random
G. A. Fenton, E. H. Vanmarcke
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Spatial Variational Principles in Continuum Mechanics

Archive for Rational Mechanics and Analysis, 1984
In this paper the author proposes a correction of the original variational principle of \textit{J. W. Herivel} [Proc. Camb. Philos. Soc. 51, 344-349 (1955; Zbl 0068.188)] taking into account the constraint expressing the conservation of the identity of the particle. The thermodynamic considerations are left out and only simplest boundary conditions are
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Spatial and Temporal Indoor Radon Variations

Health Physics, 1992
This paper examines the ability of standard radon measurement protocols to predict long-term radon concentrations in houses located in the upper Midwest. It was observed that: (1) significant radon variations can occur on a spatial scale as small as a single floor; (2) radon measurements that integrate for periods less than 3 mo are reliable only to ...
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Classical Spatial Variation Models

2009
Men have tried to model spatial behavior of the natural phenomena since a long time, with initiative simple models such as the weighting functions, which are supposed to represent regional dependence structure of the phenomenon concerned. Unfortunately, commonly employed weighting functions are not actually data-dependent and hence they are applicable ...
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Ionospheric Spatial and Temporal Variations

2013
It was obvious from the time of its discovery that the Earth’s ionosphere is highly variable in space and time. Its morphology affects propagation via the ionosphere and is characterized by geographical and geomagnetic variations on one hand, and daily, seasonal and solar cycle variations on the other.
Bruno Zolesi, Ljiljana R. Cander
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Dealing with Spatial Variation

1993
Linear geostatistics can provide, by kriging from soil and environmental data, local estimates that are unbiased and have minimum and known variance, and are in this sense optimal. The procedure assumes a model, usually that the variables are realizations of random processes and intrinsic sensu Matheron.
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