Results 71 to 80 of about 19,252 (217)
Abstract Quantifying decadal‐scale erosion rates in tectonically active regions is essential for assessing landscape hazards and constraining sediment budgets. A key question in Earth surface processes is how contemporary erosion measurements influenced by recent climatic extremes relate to long‐term geological rates.
Gopal Kumar +3 more
wiley +1 more source
Automatic variogram inference using pre-trained Convolutional Neural Networks
A novel approach is presented for inferring covariance functions from sparse data using Convolutional Neural Networks (CNNs). Two workflows are proposed: (1) direct prediction of variogram model parameters, and (2) prediction of experimental variogram ...
Mokdad Karim +2 more
doaj +1 more source
ABSTRACT The electrical resistivity tomography (ERT) is a geophysical method commonly used in mining exploration to reconstruct the subsurface resistivity. The associated inverse problem is typically addressed using deterministic approaches that minimize an objective function and guarantee fast convergence.
Alessandro Vinciguerra +2 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
We developed a new method for analysis of fundamental brain waves as recorded by EEG. To this purpose we introduce a Fractal Variance Function that is based on the calculation of the variogram. The method is completed by using Random Matrix Theory.
Andrei Khrennikov +21 more
core +1 more source
Accounting for spatial interactions in the upscaling of ecosystem services
Abstract Maps of ecosystem service (ES) supply are frequently used to guide spatial planning, policymaking and ecosystem management. However, these are typically based upon coarse land‐cover proxies. This approach lacks a strong mechanistic basis and neglects spatial biodiversity dynamics and interactions among landscape properties that can modify ES ...
Andrea Larissa Boesing +19 more
wiley +1 more source
A geostatistical model based on Brownian motion to Krige regions in R2 with irregular boundaries and holes [PDF]
Master's Project (M.S.) University of Alaska Fairbanks, 2019Kriging is a geostatistical interpolation method that produces predictions and prediction intervals.
Bernard, Jordy
core
ABSTRACT Aim For improved predictions of the redistribution of species under climate change, there is a need to better understand how interactions among multiple abiotic drivers affect species distributions. We examined whether occupancy patterns of forest plant species change consistently along geographic and macroclimatic gradients. We further tested
Per‐Ola Hedwall +6 more
wiley +1 more source
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
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

