Estimating Loess Plateau Average Annual Precipitation with Multiple Linear Regression Kriging and Geographically Weighted Regression Kriging [PDF]
Water, 2016 Estimating the spatial distribution of precipitation is an important and challenging task in hydrology, climatology, ecology, and environmental science. In order to generate a highly accurate distribution map of average annual precipitation for the Loess Plateau in China, multiple linear regression Kriging (MLRK) and geographically weighted regression ...
Qiutong Jin +3 more
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Regression and Kriging Metamodels with Their Experimental Designs in Simulation: Review [PDF]
European Journal of Operational Research, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
J.P.C. Kleijnen
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Temperature prediction based on a space-time regression-kriging model. [PDF]
J Appl Stat, 2020 Many phenomena exist in the space-time domain, often with a low data sampling rate and sparsely distributed network of observed points. Therefore, spatio-temporal interpolation with high accuracy is necessary. In this paper, a space-time regression-kriging model was introduced and applied to monthly average temperature data.
Li S, Griffith DA, Shu H.
europepmc +3 more sources
Mapping wild vascular plant species diversity in urban areas in California using crowdsourcing data by regression kriging: Examining socioeconomic disparities. [PDF]
Sci Total Environ, 2023 Li M, Masri S, Chiu CH, Sun Y, Wu J.
europepmc +2 more sources
Regression and Classification by Zonal Kriging [PDF]
, 2018 Technical ...
Jean Serra +2 more
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Above-Ground Biomass Estimation for Coniferous Forests in Northern China Using Regression Kriging and Landsat 9 Images [PDF]
Remote Sensing, 2022 Accurate estimation of forest above-ground biomass (AGB) is critical for assessing forest quality and carbon stocks, which can improve understanding of the vegetation growth processes and the global carbon cycle.
Fugen Jiang +5 more
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Mapping Topsoil Total Nitrogen Using Random Forest and Modified Regression Kriging in Agricultural Areas of Central China. [PDF]
Plants (Basel), 2023 Zhang L +6 more
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Area-to-point regression kriging for pan-sharpening
ISPRS Journal of Photogrammetry and Remote Sensing, 2016 Pan-sharpening is a technique to combine the fine spatial resolution panchromatic (PAN) band with the coarse spatial resolution multispectral bands of the same satellite to create a fine spatial resolution multispectral image. In this paper, area-to-point regression kriging (ATPRK) is proposed for pan-sharpening.
Qunming Wang +2 more
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Prediction by Regression and kriging for Spatial Data with Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 This study deals with the prediction of the non-stationary spatial stochastic process. The prediction is done by two techniques which are regression technique (generalized least square estimation) and universal kriging technique.
محمد نذير اسماعيل قاسم
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Regression Kriging in the Productive Capacity of Planted Forests [PDF]
Floresta e AmbienteThe objective of this study was to evaluate the classification of productive capacity in eucalyptus stands using regression kriging. The study was carried out in 62 stands with clonal plantations of Eucalyptus sp.
Emanuel José Gomes de Araújo +7 more
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