Results 11 to 20 of about 9,305 (198)
Spatial Distribution Based on Semivariogram Model
Economic Journal of Emerging Markets, 2011 This article aims to discuss some aspects in conducting inferential analysis of census data. In this analysis, the assumptions of normality and IID (independently and identically distribution) in the observations are no longer realistic. Hence conventional analyses which are based on these assumptions are invalid and unreliable.
Gandi Pawitan
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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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Identification of Multiscale Spatial Structure of Lunar Impact Crater: A Semivariogram Approach
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Identifying the spatial structure of lunar impact craters is necessary to increase our understanding of past geologic processes on the Moon. However, detecting multiscale spatial structures of craters in images in appropriate resolutions using optimum ...
Jiao Wang, Dongping Ming, Weiming Cheng
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PLoS ONE, 2022 The Ordinary Kriging method is a common spatial interpolation algorithm in geostatistics. Because the semivariogram required for kriging interpolation greatly influences this process, optimal fitting of the semivariogram is of major significance for ...
Yang Li +3 more
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Precipitation trends analysis by Mann-Kendall test: a case study of Paraíba, Brazil [PDF]
Revista Brasileira de Meteorologia, 2020 This work aimed to select semivariogram models to estimate trends in monthly precipitation in Paraiba State-Brazil using ordinary kriging. The methodology involves the application of geostatistical interpolation of precipitation records of 51 years from ...
Sílvio Fernando Alves Xavier Júnior +4 more
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GEUS Bulletin, 2023 Estimating a covariance model for kriging purposes is traditionally done using semivariogram analyses, where an empirical semivariogram is calculated, and a chosen semivariogram model, usually defined by a sill and a range, is fitted. We demonstrate that
Frederik Alexander Falk +1 more
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Spring Rainfall Spatial Pattern Analysis in Northwest of Iran with Spatial Statistics Methods [PDF]
نشریه جغرافیا و برنامهریزی, 2021 Introduction Rainfall is amongst the most important climatic elements with a lot of spatial and temporal changes; in contrast to the other climatic phenomena, rainfall features more notable movement complexity.
Hossein Asakereh +2 more
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Jurnal Matematika Integratif, 2017 Semivariogram adalah diagram setengah variansi dari observasi spasial yang berada pada suatu jarak tertentu. Model ini digunakan untuk mendeskripsikan kolerasi spasial.
Tegar Bratasena WKM +2 more
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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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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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