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Kriging and Semivariogram Deconvolution in the Presence of Irregular Geographical Units
Mathematical Geosciences, 2007This paper presents a methodology to conduct geostatistical variography and interpolation on areal data measured over geographical units (or blocks) with different sizes and shapes, while accounting for heterogeneous weight or kernel functions within those units.
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Spatio-Temporal Semivariograms as Neighborhood Definers
2022SPATIO-TEMPORAL SEMIVARIOGRAMS AS NEIGHBORHOOD DEFINERS. Brendan J. Hurley George Mason University, 2022 Dissertation Director: Dr. Timothy F. Leslie Spatial neighborhood definitions are a consistent source of disagreement among geographic scholars.
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Semivariogram estimation: asymptotic theory and applications
2016The semivariogram is a function characterizing the second-order dependence structure of an intrinsically stationary random field; its estimation has applications in spatial statistics, particularly in the construction of optimal predictors of the random field at unobserved locations.
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An Algorithm for Sampling Optimization for Semivariogram Estimation
1995This paper describes an algorithm for the optimal selection of sampling locations for semivariogram estimation. We assume that the semivariogram is estimated by fitting a parametric function of separation distance between observation sites to a selected subset of the squared differences of original observations (thereby restricting ourselves to ...
Werner G. Müller, Dale L. Zimmerman
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Scale Detection Using Semivariograms and Autocorrelograms
2006The evolution and ecology of all organisms are contingent on the complex variation seen in nature. Landscape ecology differs from most other branches of ecology in that it explicitly involves spatial variation. Therefore, one of the goals of landscape ecology is to describe spatial variation. The purpose of this exercise is to.
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Statistical Inference of the Semivariogram and the Quadratic Model
1984Since the semi-variogram is the basic tool on Geostatistics, the following question appear inmediately: is it possible to find an accurate estimation of a semi-variogram from a single spatial outcome of a random function?
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Semivariogram Applied for Classification of Benign and Malignant Tissues in Mammography
2006This work analyzes the application of the semivariogram function to the characterization of breast tissue as malignant or benign in mammographic images. The method characterization is based on a process that selects, using stepwise technique, from all computed semivariance which best discriminate between the benign and malignant tissues.
Valdeci Ribeiro da Silva Jr. +3 more
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Automatic Semivariogram Modeling by Convolutional Neural Network
Mathematical Geosciences, 2021HongGeun Jo, Michael J Pyrcz
exaly
Semivariogram fitting with linear programming
Computers & Geosciences, 2001Yongliang Chen, Xiguo Jiao
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