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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Multivariate space-time modelling of multiple air pollutants and their health effects accounting for exposure uncertainty [PDF]
, 2018 The long-term health effects of air pollution are often estimated using a spatio-temporal ecological areal unit study, but this design leads to the following statistical challenges: (1) how to estimate spatially representative pollution concentrations ...
Arif +30 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 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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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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Unraveling spatiotemporal variability of arbuscular mycorrhizal fungi in a temperate grassland plot [PDF]
, 2019 © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Goldmann, K., Boeddinghaus, R. S., Klemmer, S., Regan, K. M., Heintz-Buschart, A., Fischer, M., Prati,
Berner, Doreen +12 more
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Recommendable block sizes: a case study on Finnish official variety trials of barley cultivars [PDF]
, 2008 Well-established results in the current statistical literature imply that plant breeders should use incomplete block designs wherever spatial variability exists and the number of treatments is large.
Jauhiainen, Lauri +2 more
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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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Identification and characterization of nursery areas of red mullet Mullus barbatus in the Central Tyrrhenian Sea [PDF]
, 2017 Red Mullet Mullus barbatus is an important target of fishing activities in the central Tyrrhenian Sea, so it is essential to identify its critical habitats in order to manage this resource efficiently.
Ardizzone, Domenico +4 more
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