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標(biāo)題: Titlebook: Geostatistics for Compositional Data with R; Raimon Tolosana-Delgado,Ute Mueller Book 2021 Springer Nature Switzerland AG 2021 composition [打印本頁(yè)]

作者: Glitch    時(shí)間: 2025-3-21 16:39
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作者: miracle    時(shí)間: 2025-3-21 21:38
Geostatistics for Compositional Data with R978-3-030-82568-3Series ISSN 2197-5736 Series E-ISSN 2197-5744
作者: anachronistic    時(shí)間: 2025-3-22 00:27
The Case of Santa Barbara City College,This chapter provides the framework for the contents of this book. This includes a brief introduction to the problem of geospatial analysis of compositional data and approaches to the solution. Additionally, the data sets and the . packages used throughout the book are presented.
作者: BINGE    時(shí)間: 2025-3-22 08:11
Experience, Age, Education, Gender, and RaceThis chapter provides the concepts from compositional data analysis required to prepare compositional data for geostatistical treatment. Specifically we define the term closure, its rationale and caveats, and the various ways of escaping from its curse, i.e. the various forms of log-ratio transformation.
作者: Wordlist    時(shí)間: 2025-3-22 10:13

作者: Yourself    時(shí)間: 2025-3-22 12:59
David Smallbone,Friederike WelterIn this chapter the tools for spatial exploratory analysis are provided. These include data postings, swathplots and experimental variograms.
作者: Yourself    時(shí)間: 2025-3-22 21:07
Eirini Daskalaki,Denis Hyams-SsekasiHere we look at model fitting. The structural functions mainly used for model fitting are introduced. The main tool for model fitting is the linear model of coregionalisation, but the application of the MAF transformation to build a linear model of coregionalisation is also demonstrated.
作者: 裁決    時(shí)間: 2025-3-22 21:34

作者: aviator    時(shí)間: 2025-3-23 02:45
Lessons from Czech Privatisation,Cross-validation is a technique devised to provide a quality assessment of the estimates derived from cokriging and allows appraising different modelling approaches in terms of the choice of variograms and search neighbourhoods.
作者: magnanimity    時(shí)間: 2025-3-23 06:58
Veland Ramadani,Léo-Paul Dana,Vanessa RattenIn many instances it is desirable to capture more than the first two moments of the data when exploring their variability. In this chapter direct sampling simulation for compositional data is introduced, which explicitly incorporates multiple-point statistics in the simulation.
作者: 泥瓦匠    時(shí)間: 2025-3-23 12:25
https://doi.org/10.1007/978-3-030-45521-7In this chapter tools for the evaluation of results from estimation and simulation are considered. We include QQ-plots, PP-plots, variogram swarms and misclassification analysis to assess how well the output data reflect the inputs. In addition we consider upscaling of simulation results and different approaches for this.
作者: 真    時(shí)間: 2025-3-23 17:15
Introduction,This chapter provides the framework for the contents of this book. This includes a brief introduction to the problem of geospatial analysis of compositional data and approaches to the solution. Additionally, the data sets and the . packages used throughout the book are presented.
作者: 嚴(yán)峻考驗(yàn)    時(shí)間: 2025-3-23 19:38
A Review of Compositional Data Analysis,This chapter provides the concepts from compositional data analysis required to prepare compositional data for geostatistical treatment. Specifically we define the term closure, its rationale and caveats, and the various ways of escaping from its curse, i.e. the various forms of log-ratio transformation.
作者: 協(xié)定    時(shí)間: 2025-3-23 23:02
Exploratory Data Analysis,In this chapter we will introduce several tools for the exploratory analysis of compositional data, including plots, compositional measures of centre and spread, and compositional principal components to characterise regionalised compositions.
作者: SPECT    時(shí)間: 2025-3-24 05:59
Exploratory Spatial Analysis,In this chapter the tools for spatial exploratory analysis are provided. These include data postings, swathplots and experimental variograms.
作者: Mundane    時(shí)間: 2025-3-24 09:40

作者: 曲解    時(shí)間: 2025-3-24 12:16

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作者: overrule    時(shí)間: 2025-3-25 08:42

作者: defray    時(shí)間: 2025-3-25 14:06
Leadership, Vision and Strategy,mation, then testing the transformed data for multivariate normality, applying an affine equivariant multivariate normal score transformation, if necessary, modelling the spatial continuity of the normal scores, followed by simulation and back-transformation. Several algorithms are available for sim
作者: gastritis    時(shí)間: 2025-3-25 18:48

作者: –DOX    時(shí)間: 2025-3-25 22:07

作者: 緊張過(guò)度    時(shí)間: 2025-3-26 02:47

作者: Resistance    時(shí)間: 2025-3-26 05:43
Book 2021r concentrations distributed in space which exhibit spatial correlation. The book can be divided into four blocks. The first block sets the framework and provides some background on compositional data analysis. Block two introduces compositional exploratory tools for both non-spatial and spatial asp
作者: Affluence    時(shí)間: 2025-3-26 10:47

作者: Arthropathy    時(shí)間: 2025-3-26 14:49
Gabriel Tortella,Gloria Quiroga, the multivariate normal score transformation needs to be affine equivariant. In this chapter we introduce one such transformation, namely the Gaussian flow anamorphosis and briefly describe its properties.
作者: Breach    時(shí)間: 2025-3-26 18:42
Leadership, Vision and Strategy,ssary, modelling the spatial continuity of the normal scores, followed by simulation and back-transformation. Several algorithms are available for simulating Gaussian random functions. These include LU decomposition simulation, sequential Gaussian simulation and turning bands simulation, which will be introduced briefly.
作者: 貪心    時(shí)間: 2025-3-26 22:57
Book 2021are illustrated via applications to two types of data sets: one a large-scale geochemical survey, comprised of a full suite of geochemical variables, and the other from a mining context, where only the elements of greatest importance are considered. R codes are included for all aspects of the method
作者: 美色花錢(qián)    時(shí)間: 2025-3-27 04:13

作者: Acupressure    時(shí)間: 2025-3-27 07:36

作者: TOM    時(shí)間: 2025-3-27 12:48
Simulation,mation, then testing the transformed data for multivariate normality, applying an affine equivariant multivariate normal score transformation, if necessary, modelling the spatial continuity of the normal scores, followed by simulation and back-transformation. Several algorithms are available for sim
作者: HACK    時(shí)間: 2025-3-27 13:46
Fog Computing: Applications and Secure Data Aggregation,l applications. However, the smart devices do not have adequate resources due to which the applications are mostly supported by cloud servers for providing on-demand and scalable storage as well as computation power using pay-as-you-go model. Despite the broad utilization of cloud computing, few app
作者: 變異    時(shí)間: 2025-3-27 18:33

作者: 減至最低    時(shí)間: 2025-3-27 22:19
Gerinnungshemmende Behandlung des chronischen Vorhofflimmernsn Faktoren das Risiko arterieller Embolien auf eine Rate von bis zu 18%/Jahr steigen kann. Wegweisend sind echokardiographische Kriterien. Als klinische Faktoren gelten die Herzinsuffizienz, arterielle Hypertonie und Thromboembolieanamnese als pr?disponierend. Bei Patienten mit m??igem Risiko für th
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作者: antenna    時(shí)間: 2025-3-28 16:56
Book 2013g and avoiding known pitfalls..?.Authoritative and practical,. Protein Supersecondary Structure: .?.Methods and Protocols. highlight some of the major advances in the many fast-growing areas of supersecondary structure research..
作者: 戲法    時(shí)間: 2025-3-28 21:39
Adalberto Aguirre Jr.ubsequently, this chapter focuses on using .. relaxation dispersion NMR experiments to characterize the transient structures of nucleic acids that are otherwise not possible with standard structure determination techniques. A step-by-step guide and basic principles—including NMR data acquisition, da
作者: 明智的人    時(shí)間: 2025-3-29 00:46
Amenorrhea in Oncological Patients,on about the feasibility and safety of pregnancy following treatment completion is expected to increase. Oncofertility counseling should be individualized based on patient/couple- and disease/treatment-related factors, with patient interest and age as well as type of treatment being the most importa
作者: ATP861    時(shí)間: 2025-3-29 06:52
Marcus StigleggerS); atypical glandular cells, favor neoplastic (including atypical endocervical cells, favor neoplastic and atypical glandular cells, favor neoplastic); endocervical adenocarcinoma in situ; and adenocarcinoma (including endocervical, endometrial, extrauterine and NOS).
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