Results 11 to 20 of about 9,305 (199)
Development of basic quantity surveying learning module through 21st century learning activity [PDF]
, 2021 Technical and Vocational Education in Malaysia (TVET) is one of the most important branches of education to produce a balanced human capital. Not only the skills in the field need to be emphasized, but the skills also need to be enhanced under the ...
Abd Hafidz, Annis Surraiyya +1 more
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Using udometric network data to estimate an environmental covariate [PDF]
, 2011 Manyhydrologicalandecologicalstudiesrecognizetheimportanceofcharacterizingthetemporalandspatialvari- ability of precipitation. In this study, geostatistical methodologies were developed in order to estimate a hydro-meteorological factor by (re)building ...
Costa, Marco, Gonçalves, A. Manuela
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Inference for variograms [PDF]
, 2013 The empirical variogram is a standard tool in the investigation and modelling of spatial covariance. However, its properties can be difficult to identify and exploit in the context of exploring the characteristics of individual datasets.
Adrian W. Bowman +35 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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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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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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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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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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Adaptive reconstruction of radar reflectivity in clutter-contaminated areas by accounting for the space-time variability [PDF]
, 2014 Identification and elimination of clutter is necessary for ensuring data quality in radar Quantitative Precipitation Estimates (QPE). For uncorrected scanning reflectivity after signal processing, the removed areas have been often reconstructed by ...
Berenguer Ferrer, Marc, Park, Shinju
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