نتایج جستجو برای: ordinary cokriging

تعداد نتایج: 49605  

Journal: :International Journal of Contemporary Mathematical Sciences 2007

Journal: :Environmental monitoring and assessment 2003
G Passarella M Vurro V D'Agostino M J Barcelona

A number of optimization approaches regarding monitoring network design and sampling optimization procedures have been reported in the literature. Cokriging Estimation Variance (CEV) is a useful optimization tool to determine the influence of the spatial configuration of monitoring networks on parameter estimations. It was used in order to derive a reduced configuration of a nitrate concentrati...

Journal: :Wireless Networks 2016
Selvakumar Ulaganathan Dirk Deschrijver Mostafa Pakparvar Ivo Couckuyt Wei Liu David Plets Wout Joseph Tom Dhaene Luc Martens Ingrid Moerman

In cognitive wireless networks, active monitoring of the wireless environment is often performed through advanced spectrum sensing and network sniffing. This leads to a set of spatially distributed measurements which are collected from different sensing devices. Nowadays, several interpolation methods (e.g., Kriging) are available and can be used to combine these measurements into a single glob...

2007
A. E. Smith R. E. Bell I. Velicogna M. Studinger

Large regions of East Antarctica lack a reasonable topographic model because, until recently, only a few observations of ice thickness have been available to constrain the bedrock elevation. The acquisition of GRACE satellite gravity data has created a new opportunity to model the sub-ice topography. Here we have applied two methods for predicting topography based on the satellite data. Gravity...

Journal: :Environmental Modelling and Software 2011
Vikas Singh Claudio Carnevale Giovanna Finzi Enrico Pisoni Marialuisa Volta

One of the aims of regional Environmental Authorities is to provide to the citizens information about the quality of the atmosphere over a certain region. To reach this objective Environmental Authorities need suitable tools to interpolate the data coming from monitoring networks to domain locations where no measures are available. In this work a spatial interpolation system has been developed ...

2014
Mohammad Taha Bahadori Qi Yu Yan Liu

Accurate and efficient analysis of multivariate spatio-temporal data is critical in climatology, geology, and sociology applications. Existing models usually assume simple inter-dependence among variables, space, and time, and are computationally expensive. We propose a unified low rank tensor learning framework for multivariate spatio-temporal analysis, which can conveniently incorporate diffe...

Journal: :SSRN Electronic Journal 2017

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