Results 1 to 10 of about 543,708 (320)

Spatial interpolation of water quality index based on Ordinary kriging and Universal kriging

open access: goldGeomatics, Natural Hazards & Risk, 2023
Water is a very vital needed substance in order to maintain the important activities of humans. However, contaminated water can transmit diseases such as typhoid, dysentery, diarrhea, cholera and polio.
Mohsin Khan   +5 more
doaj   +4 more sources

Application of a semivariogram based on a deep neural network to Ordinary Kriging interpolation of elevation data. [PDF]

open access: yesPLoS ONE, 2022
The Ordinary Kriging method is a common spatial interpolation algorithm in geostatistics. Because the semivariogram required for kriging interpolation greatly influences this process, optimal fitting of the semivariogram is of major significance for ...
Yang Li   +3 more
doaj   +3 more sources

Ordinary kriging vs inverse distance weighting: spatial interpolation of the sessile community of Madagascar reef, Gulf of Mexico. [PDF]

open access: goldPeerJ, 2017
Information about the distribution and abundance of the habitat-forming sessile organisms in marine ecosystems is of great importance for conservation and natural resource managers.
Zarco-Perello S, Simões N.
europepmc   +4 more sources

Combining Ordinary Kriging with wind directions to identify sources of industrial odors in Portland, Oregon. [PDF]

open access: goldPLoS One, 2018
This study combines Ordinary Kriging, odor monitoring, and wind direction data to demonstrate how these elements can be applied to identify the source of an industrial odor.
Eckmann TC   +6 more
europepmc   +4 more sources

Minimax Approach for Semivariogram Fitting in Ordinary Kriging [PDF]

open access: yesIEEE Access, 2020
This research paper aims to analyze the minimax approach used in the semivariogram fitting process that forms one stage of the kriging operation performed for interpolation.
Andie Setiyoko   +2 more
doaj   +3 more sources

Lognormal Ordinary Kriging Metamodel in Simulation Optimization

open access: diamondOperations Research and Applications : An International Journal, 2018
This paper presents a lognormal ordinary kriging (LOK) metamodel algorithm and its application to optimize a stochastic simulation problem. Kriging models have been developed as an interpolation method in geology. They have been successfully used for the
Muzaffer Balaban, Berna Dengiz
semanticscholar   +3 more sources

Smart-Map: An Open-Source QGIS Plugin for Digital Mapping Using Machine Learning Techniques and Ordinary Kriging [PDF]

open access: goldAgronomy, 2022
Machine Learning (ML) algorithms have been used as an alternative to conventional and geostatistical methods in digital mapping of soil attributes. An advantage of ML algorithms is their flexibility to use various layers of information as covariates ...
Gustavo Willam Pereira   +5 more
openalex   +2 more sources

Assessment of Ordinary Kriging and Inverse Distance Weighting Methods for Modeling Chromium and Cadmium Soil Pollution in E-Waste Sites in Douala, Cameroon. [PDF]

open access: yesJ Health Pollut, 2020
Background. Several studies have demonstrated that chromium (Cr) and cadmium (Cd) have adverse impacts on the environment and human health. These elements are present in electronic waste (e-waste) recycling sites.
Ouabo RE, Sangodoyin AY, Ogundiran MB.
europepmc   +2 more sources

PERBANDINGAN PENDUGAAN METODE ORDINARY KRIGING DAN METODE ORDINARY KRIGING DENGAN TEKNIK JACKKNIFE [PDF]

open access: hybridMAp (Mathematics and Applications) Journal, 2023
Pada analisis spasial jika terdapat data yang memiliki distribusi tidak normal, maka akan menghasilkan prediksi yang kurang baik. Untuk mengatasi hal tersebut digunakan metode ordinary kriging dengan teknik jackknife. Dalam metode ordinary kriging dan ordinary kriging dengan teknik jackknife perlu memperhitungkan semivariogram.
Novia Nur Rohma
openalex   +2 more sources

Pendugaan Metode Ordinary Kriging

open access: yesJurnal Penelitian Ilmu Sosial dan Eksakta, 2022
Geostatistika merupakan ilmu yang berfokus pada data spasial. Dalam geostatistika terdapat metode pendugaan untuk menangani variabel yang mempunyai nilai bervariasi dengan berubahnya lokasi atau tempat yang disebut variabel teregionalisasi. Metode pendugaan yang digunakan untuk menangani variabel teregionalisasi disebut metode kriging.
Novia Nur Rohma
openaire   +2 more sources

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