Results 11 to 20 of about 6,225 (246)

The Many Forms of Co-kriging: A Diversity of Multivariate Spatial Estimators

open access: yesMathematical Geosciences, 2023
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
openaire   +2 more sources

Precipitation interpolation using digital terrain model and multivariate regression in hilly and low mountainous areas of Hungary

open access: yesHungarian Geographical Bulletin, 2021
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
doaj   +1 more source

Cold Season’s Air Temperature Geostatistical Modeling: Considering the Landsat Thermal Band and Snow Cover Area [PDF]

open access: yesجغرافیا و مخاطرات محیطی, 2018
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
doaj   +1 more source

Estimating precipitation intensity and its spatial distribution based on fractal theory (Case study: Tireh-Borujerd watershed) [PDF]

open access: yesمدل‌سازی و مدیریت آب و خاک, 2023
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
doaj   +1 more source

Investigating the spatial pattern of total selenium concentration in soil surface in Central Iran (case study: Isfahan Province) [PDF]

open access: yesعلوم محیطی, 2020
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
doaj   +1 more source

High anisotropy space exploration with co-Kriging method [PDF]

open access: yesAIP Conference Proceedings, 2019
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
openaire   +1 more source

An Extended Kriging Method to Interpolate Near-Surface Soil Moisture Data Measured by Wireless Sensor Networks

open access: yesSensors, 2017
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
doaj   +1 more source

Matrix formulation of co-kriging [PDF]

open access: yesJournal of the International Association for Mathematical Geology, 1982
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.
openaire   +1 more source

Comparison of sensitivity of interpolation methods by rain gauge network density [PDF]

open access: yesعلوم و مهندسی آبیاری
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
doaj   +1 more source

Spatial prediction of soil electrical conductivity using soil axillary data, soft data derived from general linear model and error measurement [PDF]

open access: yesDesert, 2020
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
doaj   +1 more source

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