Results 21 to 30 of about 4,118 (206)
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
doaj +1 more source
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
doaj +1 more source
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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Comparison of fitting results obtained using different semivariogram models.
, 2022 Comparison of fitting results obtained using different semivariogram models.
Liang Zijun (12446819) +3 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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VARBOOT: A spatial bootstrap program for semivariogram uncertainty assessment
, 2011 In applied geostatistics, the semivariogram is commonly estimated from experimental data, producing an empirical semivariogram for a specified number of discrete lags.
Olea, Ricardo E. +3 more
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FITING SEMIVARIOGRAM DENGAN LINEAR PROGRAMMING (LP), ORDINARY LEAST SQUARES (OLS) DAN WEIGHTED LEAST SQUARES (WLS) [PDF]
, 2016 One of the basic tools in the geostatistics is the semivariogram which explains the variability of data at a specific distance and direction. The purpose of this study was to obtain a theoretical semivariogram models based on a robust experimental ...
Faisal, Fachri
core +2 more sources
Some aspects about the spatial dependence index for variability of soil attributes
Ciência Rural, 2018 : The main purpose of this article was to evaluate the behavior and relationship of the range and components of SDI (Spatial Dependence Index) in general and in function of field factors such as soil types, type of attribute and soil layers.
Eduardo Lucas Ensslin dos Santos +5 more
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A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
International Statistical Review, EarlyView.Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
wiley +1 more source
Agricultural &Environmental Letters, Volume 11, Issue 2, December 2026.Abstract Soil nitrogen (N) mineralization governs plant‐available N from soil organic matter and microbial turnover, and is typically estimated as potentially mineralizable nitrogen (PMN) via anaerobic incubations or as N0 and mineralization rate (k) via long‐term aerobic incubations.
Bibash Rokaya +3 more
wiley +1 more source