Titlebook: Geostatistics for Compositional Data with R; Raimon Tolosana-Delgado,Ute Mueller Book 2021 Springer Nature Switzerland AG 2021 composition

Glitch

書目名稱Geostatistics for Compositional Data with R影響因子(影響力)




書目名稱Geostatistics for Compositional Data with R影響因子(影響力)學(xué)科排名




書目名稱Geostatistics for Compositional Data with R網(wǎng)絡(luò)公開度




書目名稱Geostatistics for Compositional Data with R網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Geostatistics for Compositional Data with R被引頻次




書目名稱Geostatistics for Compositional Data with R被引頻次學(xué)科排名




書目名稱Geostatistics for Compositional Data with R年度引用




書目名稱Geostatistics for Compositional Data with R年度引用學(xué)科排名




書目名稱Geostatistics for Compositional Data with R讀者反饋




書目名稱Geostatistics for Compositional Data with R讀者反饋學(xué)科排名

miracle

Geostatistics for Compositional Data with R978-3-030-82568-3Series ISSN 2197-5736 Series E-ISSN 2197-5744

anachronistic

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

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

Yourself

David Smallbone,Friederike WelterIn this chapter the tools for spatial exploratory analysis are provided. These include data postings, swathplots and experimental variograms.

Yourself

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.

裁決

aviator

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

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.