Горные науки и технологии, 2016 Geostatistics-based estimators, i.e. ordinary kriging and simple kriging, are state-of-the-art estimation techniques widely used in the mining industry.
Ngoc Luan Mai, Xuan Nam Bui
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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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Site Characterization Model Using Support Vector Machine and Ordinary Kriging
Journal of Intelligent Systems, 2011 In the present study, ordinary kriging and support vector machine (SVM) have been used to develop three dimensional site characterization model of an alluvial site based on standard penetration test (SPT) results.
Samui Pijush, Das Sarat
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Spatial prediction and ordinary kriging [PDF]
Mathematical Geology, 1988 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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Evaluation and Comparison of Interpolation and Linear Regression Methods to Determine the Spatial Distribution of Precipitation in Chaharmahal and Bakhtiari Province, Iran [PDF]
محیط زیست و مهندسی آب, 2022 In the present study, simple and ordinary kriging methods, inverse distance and linear regression based on digital elevation model of the earth were evaluated for estimating annual rainfall using twenty-year statistics of precipitation data (1998-2018 ...
Farzaneh Fotouhi Firoozabad +1 more
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Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single and binary component solids [PDF]
, 2014 A combination of systematic density functional theory (DFT) calculations and machine learning techniques has a wide range of potential applications.
Maekawa, Tomoya +3 more
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Sparsity-aware field estimation via ordinary Kriging
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 In this paper, we consider the problem of estimating a spatially varying field in a wireless sensor network, where resource constraints limit the number of sensors selected in the network that provide their measurements for field estimation. Based on a one-to-one correspondence between the selected sensors and the nonzero elements of Kriging weights ...
Liu, Sijia +3 more
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Comparing Methods for Interpolation to Improve Raster Digital Elevation Models [PDF]
, 2012 Digital elevation models (DEMs) are available as raster files at 100m, 30m, and 10m resolutions for the contiguous United States and are used in a variety of geographic analyses. Some projects may require a finer resolution.
Guarneri, J. C., Weih, R. C., Jr.
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Calculation of Probability Maps Directly from Ordinary Kriging Weights [PDF]
Geologia USP. Série Científica, 2010 Probability maps are useful to analyze ores or contaminants in soils and they are helpful to make a decision duringexploration work. These probability maps are usually derived from the indicator kriging approach.
Jorge Kazuo Yamamoto
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