Results 1 to 10 of about 2,909,867 (244)
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 +4 more sources
Modeling the distribution of invasive species (Ambrosia spp.) using regression kriging and Maxent
Frontiers in Ecology and Evolution, 2022 Invasion by non-native species due to human activities is a major threat to biodiversity. The niche hypothesis for invasive species that rapidly disperse and disturb ecosystems is easily discarded owing to eradication activities or unsaturated dispersal.
Ki Hwan Cho +4 more
doaj +2 more sources
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
doaj +2 more sources
Regression and kriging analysis for grid power factor estimation
Journal of Electrical Systems and Information Technology, 2014 The measurement of power factor (PF) in electrical utility grids is a mainstay of load balancing and is also a critical element of transmission and distribution efficiency.
Rajesh Guntaka, Harley R. Myler
doaj +2 more sources
Evaluation and Comparison of Interpolation and Linear Regression Methods to Determine the Spatial Distribution of Precipitation in Chaharmahal and Bakhtiari Province, Iran [PDF]
محیط زیست و مهندسی آب, 2022 In the present study, simple and ordinary kriging methods, inverse distance and linear regression based on digital elevation model of the earth were evaluated for estimating annual rainfall using twenty-year statistics of precipitation data (1998-2018 ...
Farzaneh Fotouhi Firoozabad +1 more
doaj +1 more source
Fire, 2023 Patterns of spatial heterogeneity in forests and other fire-prone ecosystems are increasingly recognized as critical for predicting fire behavior and subsequent fire effects.
Chad M. Hoffman +4 more
doaj +1 more source
GEOSTATISTICAL SOLUTIONS FOR DOWNSCALING REMOTELY SENSED LAND SURFACE TEMPERATURE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Remotely sensed land surface temperature (LST) downscaling is an important issue in remote sensing. Geostatistical methods have shown their applicability in downscaling multi/hyperspectral images.
Q. Wang +4 more
doaj +1 more source
Remote Sensing, 2023 Many radar-gauge merging methods have been developed to produce improved rainfall data by leveraging the advantages of gauge and radar observations.
Wenzhao Li +4 more
doaj +1 more source
Review of Dace-Kriging Metamodel [PDF]
Interdisciplinary Description of Complex Systems, 2023 This paper presents a conceptual review of the kriging metamodel that is introduced for the design and analysis of computer experiments (DACE). Kriging is a statistical interpolation method to build an approximation model from a set of evaluations of the
Muzaffer Balaban
doaj
Land, 2023 In South Africa (SA), smallholder farmers contribute significantly to food production and play an essential role in the nation’s food and nutritional security.
Seome Michael Swafo +1 more
doaj +1 more source