Results 61 to 70 of about 2,567 (206)

Non-Homogeneity Estimation and Universal Kriging on the Sphere

open access: yes, 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

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

PEMODELAN GEOLOGI PRODUKSI MINYAK BUMI MENGGUNAKAN METODE UNIVERSAL KRIGING [PDF]

open access: yes, 2017
# ABSTRAK ### Minyak bumi merupakan sumber energi tak terbarukan yang paling sering dimanfaatkan dalam kehidupan sehari - hari. Seiring dengan perkembangan jaman, semakin banyak masyarakat yang menggunakan minyak bumi sebagai pemenuh kebutuhan ...
CYNDY NURUL PHARADIBA
core  

Universal kriging of functional data: trace-variography vs cross-variography? Application to forecasting in unconventional shales [PDF]

open access: yes, 2016
In this paper we investigate the practical and methodological use of Universal Kriging of functional data to predict unconventional shale gas production in undrilled locations from known production data.
Caers, Jef   +2 more
core   +1 more source

CONTRIBUTION TO TERMINOLOGY AND APPLICATION OF NEW GEOSTATISTICAL MAPPING METHODS IN CROATIA - UNIVERSAL KRIGING

open access: yesRudarsko-geološko-naftni Zbornik, 2017
Advancement of science and computer development enabled the processing and analysis of large amounts of data for which the geostatistical methods have become indispensable when researching and presenting the results in a variety of geosciences.
Ivana Mesić Kiš
doaj   +1 more source

Of Titans and Terraria: Exploring and Conceptualising Philanthropic Foundations Through the Lens of Metaphors

open access: yesJournal of Philanthropy, Volume 31, Issue 2, May 2026.
ABSTRACT Addressing ongoing calls for a more robust understanding of philanthropic foundations, this paper uses metaphor analysis to map and analyse analogical metaphors on foundations—metaphors that make a direct comparison between philanthropic foundations and another domain—put forward in academic and non‐academic discourse.
Tobias Jung
wiley   +1 more source

Universal Kriging Interpolator for Satellite-derived Global Data [PDF]

open access: yes, 2008
This paper explores the use of universal Kriging to interpolate sparsely-sampled satellite-based atmospheric data for global display. The background for Kriging is discussed, the base algorithm is developed, the justification for the use of Kriging to ...
Coakley, Henry   +2 more
core   +1 more source

Optimal sampling design for universal kriging when locations are deleted (Red). [PDF]

open access: yes, 2016
Optimal sampling design for universal kriging when locations are deleted (Red).
Erum Zahid (3183477)   +6 more
core   +1 more source

From Fjord to Shelf: Drivers of Organic Carbon Transformation and Storage Across Connected Marine Sedimentary Systems

open access: yesGlobal Biogeochemical Cycles, Volume 40, Issue 5, May 2026.
Abstract Continental shelf sediments play a key role in the global carbon cycle through the long‐term storage of organic carbon (OC). However, outside of a few continental shelves dominated by large rivers our understanding of the mechanisms that drive the remineralization, burial and storage of OC across these sedimentary systems is underdeveloped. In
C. Smeaton   +3 more
wiley   +1 more source

Kriging Methodology for Uncertainty Quantification in Computational Electromagnetics

open access: yesIEEE Open Journal of Antennas and Propagation
We 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

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