Results 211 to 220 of about 3,962,691 (257)

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 ...
openaire   +1 more source

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
openaire   +1 more source

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.
openaire   +1 more source

Spatial Variation.

The Statistician, 1988
C. D. Kemp, Bertil Matern
openaire   +1 more source

Spatial Variation.

Journal of the American Statistical Association, 1962
Donald M. Roberts, Bertil Matern
openaire   +1 more source

Spatial Variations in Atmospheric Predictability

Journal of the Atmospheric Sciences, 1972
Abstract Calculations are made with the NCAR six-layer general circulation model to determine the time evolution of errors initially confined to a region 4000 km in diameter superimposed upon real global data. Three experiments are made to distinguish between the effects of an error located initially on the northern or southern sides of the jet stream ...
openaire   +1 more source

Variational Analysis Using Spatial Filters

Monthly Weather Review, 2000
In this paper the standard variational analysis scheme is modified, through a simple transform, to avoid the inversion of the background error covariance matrix. A close inspection of the modified scheme reveals that it is possible to use a filter to replace the multiplication of the covariance matrix.
openaire   +1 more source

Discrete Spatial Variation

2010
Havard Rue, Leonhard Held
  +4 more sources

Spatial Variation

2022
openaire   +1 more source

La deixis spatiale : Entre indexicalité et représentation

, 2017
Jean-Marc Colletta
semanticscholar   +1 more source