Using R for digital soil mapping. ([2017])

• Record Type: Book
• Further Information: Note: Brendan P. Malone, Budiman Minasny, Alex B. McBratney.
• Authors: Malone, Brendan P; Minasny, Budiman; McBratney, A. B
• Contents: Digital soil mapping -- R literacy for digital soil mapping -- Getting spatial in R-. Preparatory and exploratory data analysis for digital soil mapping -- Continuous soil attribute modeling and mapping -- Categorical soil attribute modeling and mapping -- Some methods for the quantification of prediction uncertainties for digital soil mapping -- Using digital soil mapping to update, harmonize and disaggregate legacy soil maps -- Combining continuous and categorical modeling: Digital soil mapping of soil horizons and their depths -- Digital soil assessment: A simple enterprise suitability example. Foreword; Preface; Endorsements; Acknowledgements; Contents; 1 Digital Soil Mapping; 1.1 The Fundamentals of Digital Soil Mapping; 1.2 What Is Going to Be Covered in this Book?; References; 2 R Literacy for Digital Soil Mapping; 2.1 Objective; 2.2 Introduction to R; 2.2.1 R Overview and History; 2.2.2 Finding and Installing R; 2.2.3 Running R: GUI and Scripts; 2.2.4 RStudio; 2.2.5 R Basics: Commands, Expressions, Assignments, Operators, Objects; 2.2.6 R Data Types; 2.2.7 R Data Structures; 2.2.8 Missing, Indefinite, and Infinite Values; 2.2.9 Functions, Arguments, and Packages. 2.2.10 Getting Help2.2.11 Exercises; 2.3 Vectors, Matrices, and Arrays; 2.3.1 Creating and Working with Vectors; 2.3.2 Vector Arithmetic, Some Common Functions, and Vectorised Operations; 2.3.3 Matrices and Arrays; 2.3.4 Exercises; 2.4 Data Frames, Data Import, and Data Export; 2.4.1 Reading Data from Files; 2.4.2 Creating Data Frames Manually; 2.4.3 Working with Data Frames; 2.4.4 Writing Data to Files; 2.4.5 Exercises; 2.5 Graphics: The Basics; 2.5.1 Introduction to the Plot Function; 2.5.2 Exercises; 2.6 Manipulating Data; 2.6.1 Modes, Classes, Attributes, Length, and Coercion. 2.6.2 Indexing, Sub-setting, Sorting, and Locating Data2.6.3 Factors; 2.6.4 Combining Data; 2.6.5 Exercises; 2.7 Exploratory Data Analysis; 2.7.1 Summary Statistics; 2.7.2 Histograms and Box Plots; 2.7.3 Normal Quantile and Cumulative Probability Plots; 2.7.4 Exercises; 2.8 Linear Models: The Basics; 2.8.1 The lm Function, Model Formulas, and Statistical Output; 2.8.2 Linear Regression; 2.8.3 Exercises; 2.9 Advanced Work: Developing Algorithms with R; Reference; 3 Getting Spatial in R; 3.1 Basic GIS Operations Using R; 3.1.1 Points; 3.1.2 Rasters. 3.2 Advanced Work: Creating Interactive Maps in R3.3 Some R Packages That Are Useful for Digital Soil Mapping; Reference; 4 Preparatory and Exploratory Data Analysis for Digital Soil Mapping; 4.1 Soil Depth Functions; 4.1.1 Fit Mass Preserving Splines with R; 4.2 Intersecting Soil Point Observations with Environmental Covariates; 4.2.1 Using Rasters from File; 4.3 Some Exploratory Data Analysis; References; 5 Continuous Soil Attribute Modeling and Mapping; 5.1 Model Validation; 5.1.1 Model Goodness of Fit; 5.1.2 Model Validation; 5.2 Multiple Linear Regression. 5.2.1 Applying the Model Spatially5.2.1.1 Covariate Table; 5.2.1.2 Raster Predictions; 5.2.1.3 Directly to Rasters Using Parallel Processing; 5.3 Decision Trees; 5.4 Cubist Models; 5.5 Random Forests; 5.6 Advanced Work: Model Fitting with Caret Package; 5.7 Regression Kriging; 5.7.1 Universal Kriging; 5.7.2 Regression Kriging with Cubist Models; References; 6 Categorical Soil Attribute Modeling and Mapping; 6.1 Model Validation of Categorical Prediction Models; 6.2 Multinomial Logistic Regression; 6.3 C5 Decision Trees; 6.4 Random Forests; References.
• Publisher Details: Switzerland : Springer Nature
• Publication Date: 2017
• Copyright Date: 2017
• Extent: 1 online resource (xvi, 262 pages), illustrations (some color), color maps
• Subjects: 631.4/9; 333.7; Environment; Digital soil mapping; R (Computer program language); TECHNOLOGY & ENGINEERING -- Agriculture -- General; Digital soil mapping; R (Computer program language); Science -- Earth Sciences -- Geography; Science -- Environmental Science; Computers -- Mathematical & Statistical Software; Geographical information systems (GIS) & remote sensing; The environment; Mathematical & statistical software; Soil conservation; Geographical information systems; Environmental sciences; Mathematical statistics; Nature -- Environmental Conservation & Protection; Soil science, sedimentology; Electronic books
• Languages: English
• ISBNs: 9783319443270; 3319443275
• Related ISBNs: 9783319443256; 3319443259
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from digital title page (EBL platform, viewed March 20, 2017).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.