Results 11 to 20 of about 32,345 (261)

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

PERBANDINGAN METODE MULTIPLE LINEAR REGRESSION (MLR) DAN REGRESSION KRIGING (RK) DALAM PEMETAAN KETEBALAN TANAH DIGITAL

JTSL (Jurnal Tanah dan Sumberdaya Lahan), 2023
Soil thickness has a significant influence on many of earth surface processes, and it can be mapped using various methods. Digital soil mapping can be used to estimate the spatial distribution of soil thickness and can estimate the uncertainty of the ...
Muhammad Fauzan Ramadhan, Guruh Samodra, Muhammad Rizky Shidiq Nugraha, Djati Mardiatno   +3 more
doaj   +3 more sources

Estimating Grassland Carbon Stocks in Hulunber China, Using Landsat8 Oli Imagery and Regression Kriging. [PDF]

Sensors (Basel), 2019
Ding L, Li Z, Wang X, Yan R, Shen B, Chen B, Xin X.   +6 more
europepmc   +3 more sources

Surrogate Model Application to the Identification of Optimal Groundwater Exploitation Scheme Based on Regression Kriging Method-A Case Study of Western Jilin Province. [PDF]

Int J Environ Res Public Health, 2015
An Y, Lu W, Cheng W.
europepmc   +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, Hamideh Afkhami Ardakani   +1 more
doaj   +1 more source

A Comparison of Four Spatial Interpolation Methods for Modeling Fine-Scale Surface Fuel Load in a Mixed Conifer Forest with Complex Terrain

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, Justin P. Ziegler, Wade T. Tinkham, John Kevin Hiers, Andrew T. Hudak   +4 more
doaj   +1 more source

Quantifying Uncertainties of Residuals in Symbolic Regression via Kriging

Procedia Computer Science, 2022
Kaifeng Yang, Michael Affenzeller
openalex   +2 more sources

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, V. Rodriguez-Galiano, P. M. Atkinson, P. M. Atkinson, P. M. Atkinson   +4 more
doaj   +1 more source

Evaluation of Radar Precipitation Products and Assessment of the Gauge-Radar Merging Methods in Southeast Texas for Extreme Precipitation Events

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, Han Jiang, Dongfeng Li, Philip B. Bedient, Zheng N. Fang   +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