Results 11 to 20 of about 3,459 (219)
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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Eksplorasi Software R Untuk Fitting Semivariogram Spherical Menggunakan Pemrograman Linear dan Uji Analisis Sensitivitas [PDF]
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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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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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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Semivariogram calculation optimization for object-oriented image classification [PDF]
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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, 2011 Abstract. This study presents a weighted semivariogram model (WSVM) which is intended to reduce the uncertainties in the selection of the best-fit semivariogram model and associated parameters. The proposed WSVM is based on the combined forecast method, providing the weighted average semivariogram by summing up the product of estimated semivariograms ...
Wu, S.-J., Chen, P.-H., Yang, J.-C.
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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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Fast semivariogram computation using FPGA architectures
SPIE Proceedings, 2015 The semivariogram is a statistical measure of the spatial distribution of data and is based on Markov Random Fields (MRFs). Semivariogram analysis is a computationally intensive algorithm that has typically seen applications in the geosciences and remote sensing areas.
Yamuna Lagadapati +2 more
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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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