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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.
Gandi Pawitan
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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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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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Jack knifing for semivariogram validation [PDF]
Bragantia, 2010 The semivariogram function fitting is the most important aspect of geostatistics and because of this the model chosen must be validated. Jack knifing may be one the most efficient ways for this validation purpose. The objective of this study was to show the use of the jack knifing technique to validate geostatistical hypothesis and semivariogram models.
Vieira, Sidney Rosa +2 more
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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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