Using R for digital soil mapping

This book describes and provides many detailed examples of implementing Digital Soil Mapping (DSM) using R. The work adheres to Digital Soil Mapping theory, and presents a strong focus on how to apply it. DSM exercises are also included and cover procedures for handling and manipulating soil and spa...

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Bibliographic Details
Main Authors: Malone, Brendan P., (Author), Minasny, Budiman, (Author), McBratney, A. B., (Author)
Format: eBook
Language: English
Published: Switzerland : Springer Nature, [2017]
Series: Progress in soil science.
Subjects:
Digital soil mapping.
R (Computer program language)
elektronické knihy
electronic books
ISBN: 9783319443270
9783319443256
Physical Description: 1 online resource (xvi, 262 pages) : illustrations (some color), color maps

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Table of contents

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100 1 |a Malone, Brendan P.,  |e author. 
245 1 0 |a Using R for digital soil mapping /  |c Brendan P. Malone, Budiman Minasny, Alex B. McBratney. 
264 1 |a Switzerland :  |b Springer Nature,  |c [2017] 
264 4 |c ©2017 
300 |a 1 online resource (xvi, 262 pages) :  |b illustrations (some color), color maps 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Progress in soil science,  |x 2352-4774 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
505 0 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book describes and provides many detailed examples of implementing Digital Soil Mapping (DSM) using R. The work adheres to Digital Soil Mapping theory, and presents a strong focus on how to apply it. DSM exercises are also included and cover procedures for handling and manipulating soil and spatial data in R. The book also introduces the basic concepts and practices for building spatial soil prediction functions, and then ultimately producing digital soil maps. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Digital soil mapping. 
650 0 |a R (Computer program language) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Minasny, Budiman,  |e author. 
700 1 |a McBratney, A. B.,  |e author. 
776 0 8 |i Print version:  |a Malone, Brendan P.  |t Using R for digital soil mapping.  |d Switzerland : Springer, [2017]  |z 9783319443256  |w (DLC) 2016948860  |w (OCoLC)953598276 
830 0 |a Progress in soil science. 
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