Results 51 to 60 of about 21,210 (233)

Spatial Prediction for Real Data using Kriging Technique [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2018
This study investigates the prediction of unstable random spatial process using the Ordinary Kriging technique, based on the variogram function Y(X,Y) in finding out the predictors, and the universal multivariate technique, which has been applied by ...
Shaymaa Riyadh Thanoon Thanoon
doaj   +1 more source

Optimizing Structural Parameters of a Water Distribution Device in Cylindrical High‐Flowrate Mixed Bed Using Multiobjective Genetic Algorithm

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu   +5 more
wiley   +1 more source

A comprehensive assessment of spatial interpolation methods for the groundwater quality evaluation of Lahore, Punjab, Pakistan

open access: yesNUST Journal of Engineering Sciences, 2017
Spatial interpolation is commonly used to generate water quality surfaces, but different spatial interpolation methods yield different surfaces from the same data.
Syed Umair Shahid   +2 more
doaj   +1 more source

Penerapan Metode Ordinary Kriging Pada Pendugaan Kadar No2 Di Udara (Studi Kasus: Pencemaran Udara Di Kota Semarang) [PDF]

open access: yes, 2016
Air pollution must be addressed. Nitrogen Dioxide is one of the important factors in air pollution. To determine concentration level of the pollutant “Badan Lingkungan Hidup Kota Semarang” already take measurements at several points. However, because
Ispriyanti, D. (Dwi)   +2 more
core  

Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale [PDF]

open access: yes, 2014
Soil organic carbon (SOC) plays a major role in the global carbon budget. It can act as a source or a sink of atmospheric carbon, thereby possibly influencing the course of climate change.
Arrouays, D.   +8 more
core   +3 more sources

Late‐Onset Rheumatoid Arthritis and Air Pollution in the Multiethnic Cohort

open access: yesArthritis &Rheumatology, EarlyView.
Objective To evaluate the effects of ambient air pollution on rheumatoid arthritis (RA) incidence in a racially and ethnically diverse population. Methods This analysis included 42,152 California Multiethnic Cohort participants, aged ≥65 years (>70% African American and Latino adults) who were enrolled in the Fee For Service component of Medicare (2001–
Anna H. Wu   +14 more
wiley   +1 more source

Linearity and Lagrange Linear Multiplicator in the Equations of Ordinary Kriging [PDF]

open access: yes, 2009
Analizirane su jednadžbe jednostavnoga i običnoga kriginga kako bi se uočila razlika u izračunu procjene u točki, te zorno prikazalo na koji način se Lagrangeov multiplikator iskazuje kao veličina u tehnici običnoga kriginga koja minimizira varijancu ...
Davorin Balić, Tomislav Malvić
core   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja   +3 more
wiley   +1 more source

Geostatistics as a tool to improve the natural background level definition: An application in groundwater [PDF]

open access: yes, 2017
The Natural Background Level (NBL), suggested by UE BRIDGE project, is suited for spatially distributed datasets providing a regional value that could be higher than the Threshold Value (TV) set by every country.
DALLA LIBERA, Nico   +4 more
core   +1 more source

Ordinary kriging for function-valued spatial data

open access: yesEnvironmental and Ecological Statistics, 2010
In various scientific fields properties are represented by functions varying over space. In this paper, we present a methodology to make spatial predictions at non-data locations when the data values are functions. In particular, we propose both an estimator of the spatial correlation and a functional kriging predictor.
Giraldo, R.   +2 more
openaire   +3 more sources

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