LEADER 02306nam 2200445Ia 450 001 9911019509503321 005 20200520144314.0 010 $a9780470611463 (e-book) 010 $a9781848210608 (hbk.) 035 $a(MiAaPQ)EBC477673 035 $a(CKB)2550000000005885 035 $a(EXLCZ)992550000000005885 100 $a20080408d2008 uy 0 101 0 $aeng 135 $aur|n|nnn||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvanced mapping of environmental data $egeostatistics, machine learning, and Bayesian maximum entropy /$fedited by Mikhail Kanevski 210 $aLondon $cISTE, Ltd. ;$aHoboken, NJ $cJ. Wiley$dc2008 215 $a1 online resource (xiii, 313 p.) $cill 225 1 $aISTE ;$vv.62 320 $aIncludes bibliographical references and index. 327 $aChapter 1. Advanced Mapping of Environmental Data: Introduction -- Chapter 2. Environmental Monitoring Network Characterization and Clustering -- Chapter 3. Geostatistics: Spatial Predictions and Simulations -- Chapter 4. Spatial Data Analysis and Mapping Using Machine Learning Algorithms -- Chapter 5. Advanced Mapping of Environmental Spatial Data: Case Studies -- Chapter 6. Bayesian Maximum Entropy ? BME -- Index. 330 $aThis book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more. 410 0$aISTE. 606 $aGeology$xStatistical methods 606 $aMachine learning 606 $aBayesian statistical decision theory 615 0$aGeology$xStatistical methods. 615 0$aMachine learning. 615 0$aBayesian statistical decision theory. 676 $a550.1/519542 701 $aKanevski$b Mikhail$01839616 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911019509503321 996 $aAdvanced mapping of environmental data$94418893 997 $aUNINA LEADER 02036nam 2200421z- 450 001 9910688559903321 005 20210211 010 $a1000006963 035 $a(CKB)4920000000101135 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/49720 035 $a(oapen)doab49720 035 $a(EXLCZ)994920000000101135 100 $a20202102d2007 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aHydrodynamic instabilities and entrainment in two-layer stratified flows down a slope 210 $cKIT Scientific Publishing$d2007 215 $a1 online resource (XXIV, 120 p. p.) 225 1 $aDissertationsreihe am Institut für Hydromechanik der Universität Karlsruhe / Universität Karlsruhe (TH), Institut für Hydromechanik 311 08$a3-86644-170-3 330 $aFluid mechanical problems related to two-layer flows are of considerable interest in a variety of geophysical, atmospheric and engineering contexts. A two-layer counter-current flow system over a submerged sill is investigated. The effect of higher Reynolds numbers and of enhanced bottom roughness on the generation and development of hydrodynamic instabilities between the two layers are investigated by means of physical experiments and linear stability analysis. 606 $aHistory of engineering and technology$2bicssc 610 $aAustauschstro?umgen 610 $ageschichtete Stro?mungen 610 $ahydrodynamic instabilities 610 $aHydrodynamische Instabilita?tenStratified exchange flows 610 $aStro?mungsmechanik 610 $aStro?mungsmechanische Mischungsprozesse 610 $atopographic effects 615 7$aHistory of engineering and technology 700 $aNegretti$b Maria Eletta$4auth$01353092 906 $aBOOK 912 $a9910688559903321 996 $aHydrodynamic instabilities and entrainment in two-layer stratified flows down a slope$93220229 997 $aUNINA