Results 61 to 70 of about 13,495 (192)
Non-Homogeneity Estimation and Universal Kriging on the Sphere
, 2021 Kriging is a widely recognized method for making spatial predictions. On the sphere, popular methods such as ordinary kriging assume that the spatial process is intrinsically homogeneous. However, intrinsic homogeneity is too strict in many cases. This research uses intrinsic random function (IRF) theory to relax the homogeneity assumption.
Bussberg, Nicholas W. +2 more
openaire +2 more sources
Geoscience Data Journal, Volume 13, Issue 2, April 2026.We present a transient electromagnetic dataset from northwestern Denmark acquired with the novel sTEMprofiler system, mapping buried Quaternary valleys. The open dataset, including raw data and resistivity models, enables benchmarking of inversion methods and integration into geological and hydrological studies. ABSTRACT Transient electromagnetic (TEM)
Line M. Madsen +3 more
wiley +1 more source
Making and developing the digital elevation models by geostatistical methods
Geodesy and Cartography, 2012 The methods for estimation of modelling and accuracy of digital elevation models were analysed. The methods for making raster elevation models were compared.
Algirdas Kumetaitis
doaj +1 more source
Spatial Analysis of Carbon Monoxide Pollutant in Mashhad by Interpolation Method and Using Geographic Information System (GIS) during 2017-2018 [PDF]
Pizhūhish dar Bihdāsht-i Muḥīṭ., 2019 Background & objeftive: Carbon monoxide is a toxic gas and since it is colorless, odorless and tasteless, it often has no warning signs for people who are at risk of this pollutant.
sara GHolamhosein ghoochani +2 more
doaj +1 more source
Comparative Analysis of Selected Geostatistical Methods for Bottom Surface Modeling
Sensors, 2023 Digital bottom models are commonly used in many fields of human activity, such as navigation, harbor and offshore technologies, or environmental studies. In many cases, they are the basis for further analysis.
Patryk Biernacik +2 more
doaj +1 more source
Water Resources Research, Volume 62, Issue 4, April 2026.Abstract Sustainable rice cultivation is vital to meet global food demands, particularly in regions relying on groundwater for irrigation. Over‐pumping, however, can cause significant ground subsidence, threatening both infrastructure and agricultural sustainability.
Ya‐Lun S. Tsai, Xun‐Yan Liu
wiley +1 more source
Kriging Methodology for Uncertainty Quantification in Computational Electromagnetics
IEEE Open Journal of Antennas and PropagationWe present the implementation and use of the Kriging methodology, i.e., surrogate models based on Kriging interpolation, in uncertainty quantification (UQ) in computational electromagnetics (CEM).
Stephen Kasdorf +2 more
doaj +1 more source
Focal‐Feature Regression Kriging
Geographical Analysis, Volume 58, Issue 2, April 2026.ABSTRACT Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models‐such as Ordinary Kriging (OK)‐assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables.
Peng Luo, Yilong Wu, Yongze Song
wiley +1 more source
علوم آب و خاک, 2019 In the present study, we used 27 precipitation average monthly data from synoptic, climatologic, rain-guage and evaporative stations located in Zayandeh-Rud river basin for the period of 1970-2014.
M. A. Amini +4 more
doaj
Transfer function-noise modeling and spatial interpolation to evaluate the risk of extreme (shallow) water-table levels in the Brazilian Cerrados [PDF]
Water regimes in the Brazilian Cerrados are sensitive to climatological disturbances and human intervention. The risk that critical water-table levels are exceeded over long periods of time can be estimated by applying stochastic methods in modeling the ...
Asmuth, J.R., von +4 more
core +2 more sources