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

泥瓦匠

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.

真

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.

嚴(yán)峻考驗

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.

協(xié)定

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.

SPECT

Exploratory Spatial Analysis,In this chapter the tools for spatial exploratory analysis are provided. These include data postings, swathplots and experimental variograms.

Mundane

曲解

Myocarditis

失敗主義者

溫室