Results 21 to 30 of about 9,305 (198)
On the classification error rates in terms of semivariograms for Gaussian universal kriging models
Lithuanian Journal of Statistics, 2021 Bayes multiclass classification of spatial Gaussian data following the universal kriging model is considered. The closed-form expressions for the maximum likelihood (ML) estimator of regression parameters and the actual error rate (AER) in terms of ...
Kęstutis Dučinskas, Lina Dreižienė
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Semivariogram calculation optimization for object-oriented image classification
Modelling in Science Education and Learning, 2011 In this paper we propose and evaluate different mathematical parameters extracted from the experimental semivariogram for land use/land cover classification using high-resolution images and cadastral mapping limits for the definition of the objects of ...
A. Balaguer-Beser +3 more
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Semivariogram methods for modeling Whittle-Mat\'ern priors in Bayesian inverse problems
, 2020 We present a new technique, based on semivariogram methodology, for obtaining point estimates for use in prior modeling for solving Bayesian inverse problems.
Bardsley, Johnathan M. +2 more
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Use of Kriging Technique to Study Roundabout Performance [PDF]
, 2011 Road intersections are dangerous places because of the many conflicting points between motorized and nonmotorized vehicles. In the case of defined traffic volume, several research groups have proved that roundabouts reduced the number of injuries and ...
MAZZELLA, ALESSANDRO +2 more
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Spatial variability of soil properties and soil erodibility in the Alqueva reservoir watershed [PDF]
, 2015 The aim of this work is to investigate how the spatial variability of soil properties and soil erodibility (K factor) were affected by the changes in land use allowed by irrigation with water from a reservoir in a semiarid area.
Andrade, R. +4 more
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Statistical Modeling of Spatial Extremes [PDF]
, 2012 The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall is crucial in flood protection.
Davison, A. C. +2 more
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Multivariate space-time modelling of multiple air pollutants and their health effects accounting for exposure uncertainty [PDF]
, 2018 The long-term health effects of air pollution are often estimated using a spatio-temporal ecological areal unit study, but this design leads to the following statistical challenges: (1) how to estimate spatially representative pollution concentrations ...
Arif +30 more
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E-Jurnal Matematika, 2015 Spatial data is data that is presented in the geographic of an object, related to the location, shape and relationship of the earth in space. One of example of spatial data is rainfall. To determine the value of rainfall in an area, built to predict rain
PUTU MIRAH PURNAMA D. +2 more
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On daily interpolation of precipitation backed with secondary information [PDF]
, 2010 This paper investigates the potential impact of secondary information on rainfall mapping applying Ordinary Kriging. Secondary information tested is a natural area indicator, which is a combination of topographic features and weather conditions.
Ahrens, Bodo, Krähenmann, Stefan
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Mathematics, 2020 Geostatistical interpolation methods, sometimes referred to as kriging, have been proven effective and efficient for the estimation of target quantity at ungauged sites.
Sompop Moonchai, Nawinda Chutsagulprom
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