| 书目名称 | Geostatistics for Compositional Data with R |
| 编辑 | Raimon Tolosana-Delgado,Ute Mueller |
| 视频video | |
| 概述 | Gives an integrated approach to geostatistical modelling of compositional data.Modelling approaches are illustrated through detailed examples from real world data.Presents workflows and R code for all |
| 丛书名称 | Use R! |
| 图书封面 |  |
| 描述 | .This book provides a guided approach to the geostatistical modelling of compositional spatial data. These data are data in proportions, percentages or 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 aspects. Block three covers all necessary facets of multivariate spatial prediction for compositional data: variogram modelling, cokriging and validation. Finally, block four details strategies for simulation of compositional data, including transformations to multivariate normality, Gaussian cosimulation, multipoint simulation of compositional data, and common postprocessing techniques, valid for both Gaussian and multipoint methods... All methods are 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 |
| 出版日期 | Book 2021 |
| 关键词 | compositional data analysis; Multivariate kriging; Spatial factor analysis; Crossvalidation; Spatial dec |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-82568-3 |
| isbn_softcover | 978-3-030-82570-6 |
| isbn_ebook | 978-3-030-82568-3Series ISSN 2197-5736 Series E-ISSN 2197-5744 |
| issn_series | 2197-5736 |
| copyright | Springer Nature Switzerland AG 2021 |
发表于 2025-3-21 16:39:05
