Zobrazeno 1 - 10
of 18
pro vyhledávání: '"K. G. van den Boogaart"'
Publikováno v:
Annales Geophysicae, Vol 34, Pp 999-1010 (2016)
The estimation of the ionospheric electron density by kriging is based on the optimization of a parametric measurement covariance model. First, the extension of kriging with slant total electron content (STEC) measurements based on a spatial covar
Externí odkaz:
https://doaj.org/article/9143827f93c8461689b0c59ca5f18101
Publikováno v:
Annales Geophysicae, Vol 33, Pp 1071-1079 (2015)
In relation to satellite applications like global navigation satellite systems (GNSS) and remote sensing, the electron density distribution of the ionosphere has significant influence on trans-ionospheric radio signal propagation. In this paper, w
Externí odkaz:
https://doaj.org/article/0f4ba32b16364406994043c111c1062b
Publikováno v:
Mathematical Geosciences. 52:1035-1048
The particularities of geosystems and geoscience data must be understood before any development or implementation of statistical learning algorithms. Without such knowledge, the predictions and inferences may not be accurate and physically consistent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::178cb524fbe149bc4c9f28cc1bc3feb3
https://doi.org/10.1007/s11004-020-09867-0
https://doi.org/10.1007/s11004-020-09867-0
Autor:
Janne Kinnunen, Pertti Sarala, K. G. van den Boogaart, Raimon Tolosana-Delgado, Maarit Middleton, Solveig Pospiech
Publikováno v:
Goldschmidt2021, 04.-09.07.2021, Virtual, France
Modelling element enrichment into upper soil and uptake from soil to the plant organs in natural systems is challenged by the complexity due to mutual interaction of numerous processes and parameters. These parameters include the elemental compositio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cf571df781571066e259d5c1a0f6366
https://doi.org/10.7185/gold2021.6037
https://doi.org/10.7185/gold2021.6037
Publikováno v:
Mathematical Geosciences 53(2021), 823-858
Compositional data carry their relevant information in the relationships (logratios) between the compositional parts. It is shown how this source of information can be used in regression modeling, where the composition could either form the response,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df57bd8209963ace1580a1a914489955
https://www.hzdr.de/publications/Publ-31533-1
https://www.hzdr.de/publications/Publ-31533-1
Publikováno v:
Handbook of Mathematical Geosciences ISBN: 9783319789989
Daya Sagar, B.S.; Cheng, Qiuming; Agterberg, Frits: Handbook of Mathematical Geosciences: Fifty Years of IAMG, Cham: Springer, 2018, 978-3-319-78998-9, 673-686
Daya Sagar, B.S.; Cheng, Qiuming; Agterberg, Frits: Handbook of Mathematical Geosciences: Fifty Years of IAMG, Cham: Springer, 2018, 978-3-319-78998-9, 673-686
Predictive geometallurgy tries to optimize the mineral value chain based on a precise and quantitative understanding of: the geology and mineralogy of the ores, the minerals processing, and the economics of mineral commodities. This chapter describes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1013577c5ed4ab8f1a764128d92a9682
https://doi.org/10.1007/978-3-319-78999-6_33
https://doi.org/10.1007/978-3-319-78999-6_33
Publikováno v:
Sustainable Minerals '18, 15.06.2018, Windhoek, Namibia
Minerals Engineering 126(2018), 52-63
Minerals Engineering 126(2018), 52-63
To fully understand the limits of the Circular Economy (CE), a comprehensive model taking into account its different stages (product design, mechanical pre-processing, metallurgy, etc.) is required. A crucial aspect is to understand the inevitable lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cf63ca51f482665b039a981114c6fde
https://www.hzdr.de/publications/Publ-26739-2
https://www.hzdr.de/publications/Publ-26739-2
Autor:
K. G. van den Boogaart, J. Teichmann
Publikováno v:
Spatial Statistics. 12:65-80
In this paper, new models for particle–cluster and cluster–cluster-like aggregates are investigated through detailed Monte Carlo simulation in order to model aggregation of micro-sized particles in turbulent flows. These structures are built up b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be7df0b8419e6e8ca24aa10fcce76f31
https://doi.org/10.1016/j.spasta.2015.03.002
https://doi.org/10.1016/j.spasta.2015.03.002
Publikováno v:
Spatial Statistics. 3:33-53
Matern’s hard-core processes are valuable point process models in spatial statistics. In order to extend their field of application, Matern’s original models are generalized here, both as point processes and particle processes. The thinning rule
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03952a8e67c66598e810de01cbe523f8
https://doi.org/10.1016/j.spasta.2013.02.001
https://doi.org/10.1016/j.spasta.2013.02.001
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783319448107
This contribution explores several issues arising in the measurement of a (geo)chemical composition with Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS), specially in the case that the quantities of interest are linear functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51ae27648c5e489bb1f2f14e9b7a70ca
https://doi.org/10.1007/978-3-319-44811-4_12
https://doi.org/10.1007/978-3-319-44811-4_12