Glitch
发表于 2025-3-21 16:39:05
书目名称Geostatistics for Compositional Data with R影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0384107<br><br> <br><br>书目名称Geostatistics for Compositional Data with R影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0384107<br><br> <br><br>书目名称Geostatistics for Compositional Data with R网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0384107<br><br> <br><br>书目名称Geostatistics for Compositional Data with R网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0384107<br><br> <br><br>书目名称Geostatistics for Compositional Data with R被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0384107<br><br> <br><br>书目名称Geostatistics for Compositional Data with R被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0384107<br><br> <br><br>书目名称Geostatistics for Compositional Data with R年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0384107<br><br> <br><br>书目名称Geostatistics for Compositional Data with R年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0384107<br><br> <br><br>书目名称Geostatistics for Compositional Data with R读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0384107<br><br> <br><br>书目名称Geostatistics for Compositional Data with R读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0384107<br><br> <br><br>
miracle
发表于 2025-3-21 21:38:18
Geostatistics for Compositional Data with R978-3-030-82568-3Series ISSN 2197-5736 Series E-ISSN 2197-5744
anachronistic
发表于 2025-3-22 00:27:28
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.
BINGE
发表于 2025-3-22 08:11:07
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.
Wordlist
发表于 2025-3-22 10:13:56
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Yourself
发表于 2025-3-22 12:59:11
David Smallbone,Friederike WelterIn this chapter the tools for spatial exploratory analysis are provided. These include data postings, swathplots and experimental variograms.
Yourself
发表于 2025-3-22 21:07:09
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.
裁决
发表于 2025-3-22 21:34:50
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aviator
发表于 2025-3-23 02:45:28
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.
magnanimity
发表于 2025-3-23 06:58:19
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.