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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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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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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Comparison Between Iterative Least Square and Nonparametric Epanechnikov Kernel in Semivariogram Modeling, Case study: Urban Land Cover in East Java Province [PDF]
ITM Web of ConferencesLandcover is an example of spatial data that contains location coordinate information along with the variables measured at each location, namely height, slope, and curvature.
Sari Kurnia Novita +3 more
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Semivariogram models for rice stem bug population densities estimated by ordinary kriging
Acta Scientiarum. Agronomy, 2020 Tibraca limbativentris is considered one of the main species of insect pests in irrigated rice. This species can be found in plants in the vegetative and reproductive stages.
Mauricio Paulo Batistella Pasini +3 more
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Semivariogram models for estimating fig fly population density throughout the year
Pesquisa Agropecuária Brasileira, 2014 The objective of this work was to select semivariogram models to estimate the population density of fig fly (Zaprionus indianus; Diptera: Drosophilidae) throughout the year, using ordinary kriging.
Mauricio Paulo Batistella Pasini +2 more
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Spatial variability of air dry bulb temperature and black globe humidity index in a broiler house during the heating phase [PDF]
Engenharia Agrícola, 2013 The air dry-bulb temperature (t db),as well as the black globe humidity index (BGHI), exert great influence on the development of broiler chickens during their heating phase. Therefore, the aim of this study was to analyze the structure and the magnitude
Patrícia F. Ponciano +4 more
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Spatial analysis of tree regeneration in a preserved area in Zagros forests, Iran [PDF]
Environmental Resources Research, 2021 Forest ecosystems are complex dynamical systems described by attributes of composition, structure, and function. To understand and manage forest ecosystems, we are required to explain and classify their dynamic structure and spatial patterns.
Sh. Gholami, Z. Ahmadiyan, E. Sayad
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Aceh International Journal of Science and Technology, 2018 This study provides an overview in combining spatial analysis and time series analysis to model the frequency of earthquake. The aim of this research is to apply the spatial statistical analysis and time series analysis in estimating semivariogram ...
Fachri Faisal, Pepi Novianti, Jose Rizal
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Semivariogram Modeling based on Provincial Clusters for Infectious Diseases and Mental Health in Indonesia [PDF]
ITM Web of ConferencesHealth is a valuable asset that profoundly impacts individuals and society as a whole, enhancing overall well-being and quality of life. Both internal and external factors, along with geographical location, play a crucial role in health.
Sari Kurnia Novita +3 more
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