The Many Forms of Co-kriging: A Diversity of Multivariate Spatial Estimators
AbstractIn this expository review paper, we show that co-kriging, a widely used geostatistical multivariate optimal linear estimator, has a diverse range of extensions that we have collected and illustrated to show the potential of this spatial interpolator.
Peter A. Dowd, Eulogio Pardo-Igúzquiza
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The relationship between precipitation and elevation is a well-known topic in the field of geography and meteorology. Radar-based precipitation data are often used in hydrologic models, however, they have several inaccuracies, and elevation can be one of
Tamás Schneck +2 more
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Cold Season’s Air Temperature Geostatistical Modeling: Considering the Landsat Thermal Band and Snow Cover Area [PDF]
Providing climatic data like temperature in good spatial resolution is a key requirement for many geographical, ecological and bioclimatic research. With this in mind, various related studies use thermal remote sensing images as auxiliary data to enhance
مسعود مینائی
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Estimating precipitation intensity and its spatial distribution based on fractal theory (Case study: Tireh-Borujerd watershed) [PDF]
Introduction Estimating the amount and intensity of precipitation and its spatial distribution in various return periods is necessary for flood estimation hydrological models.
Tayebeh Sepahvabd +3 more
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Investigating the spatial pattern of total selenium concentration in soil surface in Central Iran (case study: Isfahan Province) [PDF]
Introduction: The study of the spatial distribution of heavy metals is very important in land management and planning. The geostatistics theory is used to estimate spatial variables in unmeasured points.
Somayeh Sadr, Zahra Movahedi Rad
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High anisotropy space exploration with co-Kriging method [PDF]
For a black box data-space exploration, classical DoE method prescribes a cluster of quasi-isotropic design points following a certain space-infill criterion, however the objective function behaves. Adding new points often disturbs the original spatial-infill properties, which restricts dimension-augmentation and reusability of data.
Zebin Zhang +2 more
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In the practice of interpolating near-surface soil moisture measured by a wireless sensor network (WSN) grid, traditional Kriging methods with auxiliary variables, such as Co-kriging and Kriging with external drift (KED), cannot achieve satisfactory ...
Jialin Zhang +5 more
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Matrix formulation of co-kriging [PDF]
The matrix form of the general co-kriging problem is presented. Matrix solutions are given for SRFs with covariance functions, for IRFs of order zero using variograms and for universal co-kriging. General methods for obtaining cross-covariance or cross-variogram models are given.
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Comparison of sensitivity of interpolation methods by rain gauge network density [PDF]
Different interpolation methods, each with their own strengths and weaknesses, are used to temporal and spatial estimation of precipitation. The accuracy of this estimate depends on the density of point data measured at rain gauge stations. In this study,
Amin Kanooni, Erfan Faraji Amogein
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Spatial prediction of soil electrical conductivity using soil axillary data, soft data derived from general linear model and error measurement [PDF]
Indirect measurement of soil electrical conductivity (EC) has become a major data source in spatial/temporal monitoring of soil salinity. However, in many cases, the weak correlation between direct and indirect measurement of EC has reduced the accuracy ...
N. Hamzehpour, M. Rahmati, B. Roohzad
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