Results 41 to 50 of about 2,881 (187)
Oil & Gas Science and Technology, 2020 For 3D geological modelling of oil and gas reservoirs, well pattern density is directly related to the number of samples involved in the calculation, which determines the variation function of stochastic modelling and has great impacts on the results of ...
Wang Jinkai +4 more
doaj +1 more source
Statistical Analysis of PM10 Concentration in the Monterrey Metropolitan Area, Mexico (2010–2018)
Atmosphere, 2022 Air-quality monitoring and analysis are initial parts of a comprehensive strategy to prevent air pollution in cities. In such a context, statistical tools play an important role in determining the time-series trends, locating areas with high pollutant ...
Mario A. Aguirre-López +7 more
doaj +1 more source
Environmental Toxicology, EarlyView.ABSTRACT This study assessed the contamination levels, bioaccessibility, and potential health risks of As, Cd, Cu, Pb, and Zn in sediments from three dry riverbeds (El Beal‐EB, Las Matildes‐LM, and Ponce‐PN) impacted by historical mining activities in the Cartagena‐La Unión Mining District.
José Gregorio Cuevas +5 more
wiley +1 more source
The Survey of Regional Changes in Annual Precipitation Using Geostatistic techniques (Case Study: Ilam Province) [PDF]
نشریه جغرافیا و برنامهریزی, 2015 Selection of an optimal interpolation method for estimating the characteristics of the not-sampled points was the main aim of this study, due to the important role of data management. In this study, ordinary Kiriging interpolation models including linear,
Haji Karimi, Hasan Fathizade
doaj
On Spatial Point Processes With Composition‐Valued Marks
International Statistical Review, EarlyView.Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt +2 more
wiley +1 more source
Assessment of soil property spatial variation based on the geostatistical simulation [PDF]
Desert, 2011 The main objective in the present study was to assess the spatial variation of chemical and physical soil properties and then use this information to select an appropriate area to install a pasture rehabilitation experiment in the Zereshkin region, Iran.
Mohammad Jafari +3 more
doaj +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
Analyzing the effect of clustered spatial distribution of mount Atlas mastic (Pistacia atlantica Desf.) trees on their biometric characteristics using mark-correlation function in Baneh Research Forest, Fars province [PDF]
تحقیقات جنگل و صنوبر ایران, 2017 The spatial distribution analysis of trees in arid and semi-arid regions presents valuable information about their interactions and impacts on one another.
Narges Kariminejad +3 more
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Deep Spatially Varying Coefficient Model for Interpolation of Non‐Stationary Meteorological Data
Environmetrics, Volume 37, Issue 6, September 2026.ABSTRACT In spatial statistics, the spatially varying coefficient model (SVCM) is widely applied in the analysis and interpolation of non‐stationary spatial data. By incorporating spatially varying coefficients, the model can capture spatial heterogeneity and provide an attractive interpretation of response‐covariate associations.
Tong Wu, Nan Chen, Zhi‐Sheng Ye
wiley +1 more source
Australian &New Zealand Journal of Statistics, Volume 68, Issue 3, September 2026.ABSTRACT In many fields of research, it is common to conduct experiments where several observations of the response variable are made on the same subject over non‐random conditions, generating longitudinal studies. A wide variety of techniques deal with this type of data when analysing population variations, many based on estimating functions.
João Victor B. de Freitas +2 more
wiley +1 more source