Results 11 to 20 of about 3,153,242 (138)
Characterization of karstic aquifer complexity using fractal dimensions
GEM - International Journal on Geomathematics, 2021 The present study analyzes fractal dimensions for the daily discharge data series of 12 karstic springs registered over two decades in Northeast Hungary. Fluctuation in the observed data is frequent and irregular, producing rough time series.
E. Borbás +3 more
semanticscholar +2 more sources
Astronomy & Astrophysics, 2018 Aims. We describe the methods used and the analysis performed in the frame of the Gaia data processing activities to produce the Gaia Data Release 2 (DR2) sample candidates with short-timescale variability together with associated parameters.
L. Eyer +454 more
semanticscholar +1 more source
ABC model selection for spatial extremes models applied to South Australian maximum temperature data [PDF]
Computational Statistics & Data Analysis, 2017 Max-stable processes are a common choice for modelling spatial extreme data as they arise naturally as the infinite-dimensional generalisation of multivariate extreme value theory.
X. Lee +4 more
semanticscholar +1 more source
, 2015 Knowledge of the spatial heterogeneity of wood is useful for industrial applications and improving dendrogeomorphic sampling, because it allows a better understanding of 3-D wood density structure in tree stems damaged by geomorphic processes.
C. Guardiola‐Albert +3 more
semanticscholar +1 more source
, 2014 Characterizing landscapes as gradients may help illuminate animal—habitat relationships that are either 1) masked by or 2) impractical to investigate using a purely patch-based perspective. Among other methods, variogram models may reveal these gradients
G. Sadoti +4 more
semanticscholar +1 more source
Texture Feature based Automated Seeded Region Growing in Abdominal MRI Segmentation
International Conference on BioMedical Engineering and Informatics, 2008 A new texture feature based seeded region growing algorithm is proposed for the automated segmentation of organs in Abdominal MR image. Co-occurrence texture feature and semi-variogram texture feature are extracted from the image and the seeded region ...
Jie Wu +3 more
semanticscholar +1 more source
Spatial prediction of naturally occurring gamma radiation in Great Britain
Journal of Environmental Radioactivity, 2016 Gamma radiation from natural sources is an important component of background radiation, and correlates with childhood leukaemia risk in Great Britain.
P. Chernyavskiy +3 more
semanticscholar +1 more source
, 2017 Water stable isotopes preserved in ice cores provide essential information about polar precipitation. In the present study, multivariate regression and variogram analyses were conducted on 22 δ2H and 53 δ18O records from 60 ice cores covering the second ...
I. Hatvani +3 more
semanticscholar +1 more source
Remote Sensing, 2019 Desert environments are sensitive to disturbances, and their functions and processes can take many years to recover. Detecting early signs of disturbance is critical, but developing such a capability for expansive remote desert regions is challenging ...
Y. Hamada +3 more
semanticscholar +1 more source
XRCT images and variograms reveal 3D changes in wood density of riparian trees affected by floods
Trees, 2015 The extension of damage and anatomical changes in riparian trees after flood impact can be quantified with X-ray computed tomography and variogram analyses.
J. A. Ballesteros-Cánovas +2 more
semanticscholar +1 more source