Results 171 to 180 of about 917,096 (229)

Measuring Constituency Ideology Using Bayesian Universal Kriging

State Politics & Policy Quarterly, 2021
AbstractIn this article, we develop and make available measures of public ideology in 2010 for the 50 American states, 435 congressional districts, and state legislative districts. We do this using the geospatial statistical technique of Bayesian universal kriging, which uses the locations of survey respondents, as well as population covariate values ...
J. Gill
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Universal Kriging for Loran ASF Map Generation

IEEE Transactions on Aerospace and Electronic Systems, 2019
After a series of intentional Global Positioning System (GPS) jamming attacks impacted a large area of South Korea, the Ministry of Oceans and Fisheries of South Korea considers long-range navigation (Loran) and enhanced Loran (eLoran) as a maritime backup navigation system.
Pyo-Woong Son, Joon Hyo Rhee, Jaehui Hwang, Jiwon Seo   +3 more
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Universal Kriging of RSS Databases in a Bayesian Filter

2018 21st International Conference on Information Fusion (FUSION), 2018
Received signal strength (RSS) based navigation is chosen for many indoor propagation scenarios because of the high availability and low cost of the needed infrastructure. Usually, RSS-based navigation relies on fingerprinting techniques. TRe-cently, methods for the spatial interpolation of RSS databases, including ordinary and universal Kriging have ...
Sebastian Kram, Ivana Lukcin, Christian Nickel, Jochen Seitz   +3 more
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Spatial Interpolations of Annual Rainfall in Ethiopia Using Simple and Universal Kriging Techniques

Hydrospatial Analysis, 2023
The study of spatial distribution of precipitation is an important aspect of water-related research like, hydrological modeling, disaster prediction and watershed management. But, spatial interpolations of annual average rainfall in Ethiopia using Simple
Kasye Shitu, Adibar Hymiro, Tigist Degu, Mastewal Mekuriaw   +3 more
semanticscholar   +1 more source

A spur to molecular geometry optimization: Gradient-enhanced universal kriging with on-the-fly adaptive ab initio prior mean functions in curvilinear coordinates.

Journal of Chemical Physics, 2022
We present a molecular geometry optimization algorithm based on the gradient-enhanced universal kriging (GEUK) formalism with ab initio prior mean functions, which incorporates prior physical knowledge to surrogate-based optimization.
Chong Teng, Daniel Huang, Junwei Lucas Bao   +2 more
semanticscholar   +1 more source

Disjunctive kriging, universal kriging, or no kriging: Small sample results with simulated fields

Mathematical Geology, 1986
This paper provides a comparison between linear (universal) and nonlinear (disjunctive) kriging estimators when they are computed from small samples chosen randomly on simulated stationary and nonstationary fields. Point estimation results are reported.
Carlos E. Puente, Rafael L. Bras
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Universal kriging with training images

Spatial Statistics, 2015
Abstract In the past decade, the training image (TI) has received considerable attention as a source for modeling spatial continuity in geostatistics. In this paper, the use of TIs in the context of kriging is investigated, specifically universal kriging (UK).
Lewis Li, Thomas Romary, Jef Caers
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Multi-event universal kriging (MEUK)

Advances in Water Resources, 2016
Multi-event universal kriging (MEUK) is a method of interpolation that creates a series of maps, each corresponding to a specific sampling “event”, which exhibit spatial relationships that persist over time. MEUK is computed using minimum-variance unbiased linear prediction from data obtained via a sequence of events.
Matthew J. Tonkin, Jonathan Kennel, William Huber, John M. Lambie   +3 more
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Universal Kriging and Cokriging as a Regression Procedure

Biometrics, 1991
Prediction of a property on the basis of a set of point measurements in a region is required if a map of this property for the region is to be made. Of the spatial interpolation and prediction techniques, kriging is optimal among all linear procedures, as it is unbiased and has minimal variance of the prediction error. In cokriging, which has this same
Stein, A., Corsten, L.C.A.
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Regularized kriging as a generalization of simple, universal, and bayesian kriging

Stochastic Environmental Research and Risk Assessment, 2005
In this article the properties of regularized kriging (RK) are studied. RK is obtained as a result of relaxing the universal kriging (UK) non-bias condition by using the support vectors methodology. More specifically, we demonstrate how RK is a continuum of solutions in function of the regularizing parameter, which includes as particular and extreme ...
J. M. Matías, W. González-Manteiga
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