Results 51 to 60 of about 2,754 (181)
ABSTRACT The metamorphic zoning and geothermobarometry of the Ryoke metamorphic complex in the Yanai area, southwest Japan, show that its thermobaric structure was buffered by the dehydration melting of biotite. The temperatures over most of the area covered by the three high‐grade zones (8.5‐ to 19.0‐km depth) are consistent with those of the ...
Takeshi Ikeda +3 more
wiley +1 more source
Generalized product-sum variogram models of the data of the Center of Marine Research
Environmental data usually depends on both spatial and temporal components. Therefore, it is essential to have statistical models to describe how the data vary across space and time.
Ingrida Krūminienė +1 more
doaj +1 more source
Nonparametric Estimation of The Variogram an Application [PDF]
This Research Deals with Non Parametric Estimation of Variogram Function . As it is known The Variogram Function is Considered As a very Important Parameter in Investigating The Spatial Dependence for The Spatial Stochastic Process .The Non ...
Taha Yaseen H, Mohammed N.I.Qassim
doaj +1 more source
Validating habitat suitability assessments with post‐translocation animal movement data
Wildlife translocations are essential for restoring species to their native habitats, and species distribution models (SDMs) have proven useful for identifying suitable habitats to guide this process. Validating model predictions with data from individual's post‐translocation, however, is rare due to the frequent lack of monitoring data from ...
Ramiro D. Crego +7 more
wiley +1 more source
Optimal designs for variogram estimation
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
Ontology-driven Geographic Object-Based Image Analysis (O-GEOBIA) contributes to the identification of meaningful objects. In fusing data from multiple sensors, the number of feature variables is increased and object identification becomes a challenging ...
Sachit Rajbhandari +4 more
doaj +1 more source
Generalized Additive Model With Dynamic Coefficients for Spatiotemporal Ozone Predictions
ABSTRACT Accurate prediction of surface‐level ozone concentrations is critical for air quality management and public health protection. This study develops a flexible spatiotemporal statistical modeling framework to predict daily mean O3 concentrations across Italy by integrating satellite‐derived ozone estimates with ground‐based observations and high‐
Abdollah Jalilian +3 more
wiley +1 more source
Precision agriculture for coffee production requires spatial knowledge of crop yield. However, difficulties in implementation lie in low-sampled areas. In addition, the asynchronicity of this crop adds complexity to the modeling.
César de Oliveira Ferreira Silva +3 more
doaj +1 more source
GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications
Global surface climate datasets contain structural uncertainty that is difficult to attribute to individual processing steps. We present GloMarGridding, a Python package that isolates the spatial interpolation component using Gaussian Process Regression (or kriging) to generate spatially complete fields and uncertainty estimates. The techniques used in
Richard C. Cornes +6 more
wiley +1 more source
Knowledge of infiltration characteristics is useful in hydrological studies of agricultural soils. Soil hydraulic parameters such as steady infiltration rate, sorptivity, and transmissivity can exhibit appreciable spatial variability. The main objectives
Fereshte Haghighi Fashi +2 more
doaj +1 more source

