Results 101 to 110 of about 2,909,867 (244)

A Bayesian Spatiotemporal Functional Model for Data With Block Structure and Repeated Measures

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT The analysis of spatiotemporal data is fundamental across multiple scientific disciplines, particularly in assessing the behavior of climate effects over space and time. A key challenge in this area is effectively capturing recurring climate phenomena, such as El Niño/La Niña (ENSO) phases, which induce prolonged periods of similar weather ...
David H. da Matta, Mariana R. Motta, Nancy L. Garcia, Alexandre B. Heinemann   +3 more
wiley   +1 more source

Regression kriging to improve basal area and growing stock volume estimation based on remotely sensed data, terrain indices and forest inventory of black pine forests

, 2020
Background: The use of satellite imagery to quantify forest metrics has become popular because of the high costs associated with the collection of data in the field.Methods: Multiple linear regression (MLR) and regression kriging (RK) techniques were ...
Ferhat Bolat, Sinan Bulut, A. Günlü, İlker Ercanli, M. Şenyurt   +4 more
semanticscholar   +1 more source

Evaluation of spatial interpolation techniques for urban heat island monitoring in small and medium sized cities

Frontiers in Built Environment
The growth of a city is typically accompanied by densification and sprawl, the former through verticalization, urban renewal, and the filling in of empty spaces.
C. Brabant, V. Dubreuil, S. Dufour
doaj   +1 more source

Compilation of novel and renewed, goal oriented digital soil maps using geostatistical and data mining tools

Hungarian Geographical Bulletin, 2015
Due to former soil surveys and mapping activities significant amount of soil information has accumulated in Hungary. Present soil data requirements are mainly fulfilled with these available datasets either by their direct usage or after certain specific ...
László Pásztor, Annamária Laborczi, Katalin Takács, Gábor Szatmári, Endre Dobos, Gábor Illés, Zsófia Bakacsi, József Szabó   +7 more
doaj   +1 more source

Determination of Stunting Risk Factors Using Spatial Interpolation Geographically Weighted Regression Kriging in Malang

Mutiara Medika, 2020
Stunting is the condition toddlers have Stunting is the condition toddlers have less length or height if compared to age. The high percentage of stunting is influenced by several factors, namely access to healthy latrines, quality drinking water, hand ...
Henny Pramoedyo, Mudjiono Mudjiono, Adji Achmad Fernandes, Deby Ardianti, Kurniawati Septiani   +4 more
doaj   +1 more source

Bayesian Inference for Spatially‐Temporally Misaligned Data Using Predictive Stacking

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT Air pollution remains a major environmental risk factor that is often associated with adverse health outcomes. However, quantifying and evaluating its effects on human health is challenging due to the complex nature of exposure data. Recent technological advances have led to the collection of various indicators of air pollution at increasingly
Soumyakanti Pan, Sudipto Banerjee
wiley   +1 more source

Testing a sequential stochastic simulation method based on regression kriging in a catchment area in Southern Hungary

Geologia Croatica, 2015
Modelling spatial variability and uncertainty is a highly challenging subject in soil- and geosciences. Regression kriging (RK) has several advantages; nevertheless it is not able to model the spatial uncertainty of the target variable.
Gábor Szatmári, Károly Barta, Andrea Farsang, László Pásztor   +3 more
doaj   +1 more source

Kriging Metamodeling in Simulation: A Review [PDF]

This article reviews Kriging (also called spatial correlation modeling). It presents the basic Kriging assumptions and formulas contrasting Kriging and classic linear regression metamodels.
Kleijnen, J.P.C.
core   +1 more source

Bayesian D‐Optimal Designs for Gaussian Process Surrogate Models

Quality and Reliability Engineering International, Volume 42, Issue 2, Page 583-597, March 2026.
ABSTRACT Computer experiments often employ space‐filling strategies to create surrogate models with strong predictive performance. The impact of model parameter estimation for Gaussian process surrogates, however, is often overlooked. Obtaining a better initial estimate of the covariance lengthscale parameter, θ$\bm{\theta }$, can greatly improve the ...
Patrick McHugh, Boya Zhang, Kevin R. Quinlan   +2 more
wiley   +1 more source

Downscaling Census Data for Gridded Population Mapping With Geographically Weighted Area-to-Point Regression Kriging

IEEE Access, 2019
Understanding human population distribution on the earth at fine scales is an increasingly need to a broad range of geoscience fields, including resource allocation, transport and city planning, infectious disease assessment, disaster risk response, and ...
Yuehong Chen, Ruojin Zhang, Y. Ge, Yan Jin, Zelong Xia   +4 more
semanticscholar   +1 more source