Results 91 to 100 of about 6,324 (226)
Water Resources Research, Volume 62, Issue 6, June 2026.Abstract Accurate predictions of tracer transport in complex aquifer systems remain a formidable challenge, primarily owing to the spatial heterogeneity of hydraulic conductivity (K). Here, we conducted a forced‐gradient heat tracer test within a highly heterogeneous glaciofluvial deposit, injecting chilled water and monitoring temperature at depth ...
Chenxi Wang +6 more
wiley +1 more source
Soil Lead Risks Associated With Urbanization Histories in Springfield MA and Hartford CT, USA
GeoHealth, Volume 10, Issue 6, June 2026.Abstract Due to legacy leaded products, soil Pb is generally higher in older urban centers triggering substantial implications for environmental equity. By integrating a gridded soil Pb analysis of about 150 samples each in two historically industrial cities (Hartford, CT and Springfield, MA) with block‐level census data, we tested the hypotheses that (
N. Perdrial +4 more
wiley +1 more source
Persian Journal of Acarology, 2017 In this study, the statistical methods and artificial neural network (ANN) were used to estimate the spatial distribution of Tetranychus urticae in cucumber field of Behbahan, Iran.
Alireza Shabaninejad +2 more
doaj +1 more source
Austral Ecology, Volume 51, Issue 6, June 2026.ABSTRACT Understanding animal distribution is crucial for elucidating natural history, population dynamics, and inter‐ and intraspecific interactions. This knowledge informs the planning and evaluation of management and conservation strategies, particularly for sympatric, scarce, and threatened species such as jaguars (Panthera onca) and pumas (Puma ...
Ricardo Corassa Arrais +4 more
wiley +1 more source
Variogram method for Global Sensitivity Analysis
, 2019 We extend the “variogram-based” theory of Global Sensitivity Analysis, called Variogram Analysis of Response Surfaces (VARS), and develop a new generalized star sampling technique (called gSTAR) to accommodate correlated multivariate distributions.
Nhu Do (4191721)
core +1 more source
Modeling of zonal anisotropic variograms
Lietuvos Matematikos Rinkinys, 2005 Most standard methods of geostatistical analysis are built upon the basic assumption of isotropy. However, spatial data in most cases are not isotropic. In practice typically we find data with zonal anisotropy.
Lina Budrikaitė
doaj +1 more source
Australian &New Zealand Journal of Statistics, Volume 68, Issue 2, June 2026.ABSTRACT The choropleth map is a common tool for communicating spatial distributions across geographic areas. However, the size of geographic units can distort interpretation, influencing how users perceive the distribution. A common alternative is the cartogram, which resizes areas based on population.
Stephanie Kobakian, Dianne Cook
wiley +1 more source
, 2009 12 pagesThis paper describes the new Automatic Variogram Fitting procedure regarding the internal programming, as well as the options that are avail- able to the user. This procedure optimizes a set of quantities (optionally lying between lower and upper
Renard, Didier
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Optimal designs for variogram estimation
Environmetrics, 1999 The variogram plays a central role in the analysis of geostatistical data. A valid variogram model is selected and the parameters of that model are estimated before kriging (spatial prediction) is performed. These inference procedures are generally based upon examination of the empirical variogram, which consists of average squared differences of data ...
Müller, Werner, Zimmerman, Dale L.
openaire +3 more sources
The variogram characterizes the spatial variability of a regionalized variable. Variogram calculation and modeling require a significant amount of professional time.
Davila Saavedra, Luis A
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