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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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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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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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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Adaptive reconstruction of radar reflectivity in clutter-contaminated areas by accounting for the space-time variability [PDF]
, 2014 Identification and elimination of clutter is necessary for ensuring data quality in radar Quantitative Precipitation Estimates (QPE). For uncorrected scanning reflectivity after signal processing, the removed areas have been often reconstructed by ...
Berenguer Ferrer, Marc, Park, Shinju
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The Importance of Scale for Spatial-Confounding Bias and Precision of Spatial Regression Estimators [PDF]
, 2009 Residuals in regression models are often spatially correlated. Prominent examples include studies in environmental epidemiology to understand the chronic health effects of pollutants.
Paciorek, Christopher J.
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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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