Using R for Digital Soil Mapping:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2017]
|
| Schriftenreihe: | Progress in Soil Science
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FFW01 TUM01 UBG01 UBT01 UPA01 Volltext Inhaltsverzeichnis |
| Beschreibung: | 1 Online Ressource (XVI, 262 p. 61 illus., 44 illus. in color) |
| ISBN: | 9783319443270 |
| DOI: | 10.1007/978-3-319-44327-0 |
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Datensatz im Suchindex
| _version_ | 1804176869269962752 |
|---|---|
| adam_text | Titel: Using R for digital soil mapping
Autor: Malone, Brendan P
Jahr: 2017
Contents
1 Digital Soil Mapping..............................................................................................................1
1.1 The Fundamentals of Digital Soil Mapping..................................................1
1.2 What Is Going to Be Covered in this Book?................................................4
References........................................................................................................................................5
2 R Literacy for Digital Soil Mapping............................................................................7
2.1 Objective............................................................................................................................7
2.2 Introduction to R ..........................................................................................................7
2.2.1 R Overview and History........................................................................7
2.2.2 Finding and Installing R........................................................................8
2.2.3 Running R: GUI and Scripts..............................................................8
2.2.4 RStudio............................................................................................................9
2.2.5 R Basics: Commands, Expressions,
Assignments, Operators, Objects....................................................10
2.2.6 R Data Types................................................................................................13
2.2.7 R Data Structures......................................................................................15
2.2.8 Missing, Indefinite, and Infinite Values........................................17
2.2.9 Functions, Arguments, and Packages............................................18
2.2.10 Getting Help................................................................................................21
2.2.11 Exercises........................................................................................................22
2.3 Vectors, Matrices, and Arrays..............................................................................23
2.3.1 Creating and Working with Vectors ..............................................23
2.3.2 Vector Arithmetic, Some Common Functions,
and Vectorised Operations ..................................................................26
2.3.3 Matrices and Arrays................................................................................29
2.3.4 Exercises........................................................................................................31
2.4 Data Frames, Data Import, and Data Export................................................32
2.4.1 Reading Data from Files......................................................................33
2.4.2 Creating Data Frames Manually......................................................36
2.4.3 Working with Data Frames..................................................................37
xiii
xiv Contents
2.4.4 Writing Data to Files..............................................................................40
2.4.5 Exercises........................................................................................................41
2.5 Graphics: The Basics..................................................................................................41
2.5.1 Introduction to the Plot Function................................................41
2.5.2 Exercises........................................................................................................45
2.6 Manipulating Data........................................................................................................46
2.6.1 Modes, Classes, Attributes, Length, and Coercion................46
2.6.2 Indexing, Sub-setting, Sorting, and Locating Data..............48
2.6.3 Factors..............................................................................................................56
2.6.4 Combining Data........................................................................................57
2.6.5 Exercises........................................................................................................58
2.7 Exploratory Data Analysis......................................................................................58
2.7.1 Summary Statistics..................................................................................58
2.7.2 Histograms and Box Plots....................................................................59
2.7.3 Normal Quantile and Cumulative Probability Plots..............62
2.7.4 Exercises.................................................... 64
2.8 Linear Models: The Basics....................................................................................64
2.8.1 The lm Function, Model Formulas, and
Statistical Output........................................... 64
2.8.2 Linear Regression.......................................... 65
2.8.3 Exercises.................................................... 71
2.9 Advanced Work: Developing Algorithms with R................... 71
Reference..................................................................... 79
3 Getting Spatial in R......................................................... 81
3.1 Basic GIS Operations Using R..............................................................................82
3.1.1 Points........................................................ 82
3.1.2 Rasters....................................................... 85
3.2 Advanced Work: Creating Interactive Maps in R................... 88
3.3 Some R Packages That Are Useful for Digital Soil Mapping...... 91
Reference..................................................................... 93
4 Preparatory and Exploratory Data Analysis for Digital
Soil Mapping................................................................................................................................95
4.1 Soil Depth Functions................................................. 96
4.1.1 Fit Mass Preserving Splines with R................................................97
4.2 Intersecting Soil Point Observations with
Environmental Co variâtes............................................ 101
4.2.1 Using Rasters from File........................................................................105
4.3 Some Exploratory Data Analysis.................................... 106
References.................................................................... 116
5 Continuous Soil Attribute Modeling and Mapping..................... 117
5.1 Model Validation..........................................................................................................117
5.1.1 Model Goodness ofFit..........................................................................118
5.1.2 Model Validation......................................................................................119
Contents xv
5.2 Multiple Linear Regression....................................................................................122
5.2.1 Applying the Model Spatially............................................................126
5.3 Decision Trees................................................................................................................130
5.4 Cubist Models................................................................................................................133
5.5 Random Forests............................................................................................................136
5.6 Advanced Work: Model Fitting with Caret Package..............................141
5.7 Regression Kriging......................................................................................................143
5.7.1 Universal Kriging......................................................................................144
5.7.2 Regression Kriging with Cubist Models......................................146
References........................................................................................................................................149
6 Categorical Soil Attribute Modeling and Mapping..........................................151
6.1 Model Validation of Categorical Prediction Models................................152
6.2 Multinomial Logistic Regression........................................................................155
6.3 C5 Decision Trees........................................................................................................161
6.4 Random Forests............................................................................................................164
References........................................................................................................................................167
7 Some Methods for the Quantification of Prediction
Uncertainties for Digital Soil Mapping......................................................................169
7.1 Universal Kriging Prediction Variance............................................................170
7.1.1 Defining the Model Parameters........................................................170
7.1.2 Spatial Mapping........................................................................................173
7.1.3 Validating the Quantification of Uncertainty............................176
7.2 Bootstrapping..................................................................................................................178
7.2.1 Defining the Model Parameters........................................................179
7.2.2 Spatial Mapping........................................................................................182
7.2.3 Validating the Quantification of Uncertainty............................185
7.3 Empirical Uncertainty Quantification Through Data
Partitioning and Cross Validation........................................................................187
7.3.1 Defining the Model Parameters........................................................188
7.3.2 Spatial Mapping........................................................................................192
7.3.3 Validating the Quantification of Uncertainty............................195
7.4 Empirical Uncertainty Quantification Through Fuzzy
Clustering and Cross Validation..........................................................................198
7.4.1 Defining the Model Parameters........................................................200
7.4.2 Spatial Mapping........................................................................................211
7.4.3 Validating the Quantification of Uncertainty............................216
References........................................................................................................................................218
8 Using Digital Soil Mapping to Update, Ftarmonize and
Disaggregate Legacy Soil Maps......................................................................................221
8.1 DSMART: An Overview..........................................................................................223
8.2 Implementation of DSMART................................................................................224
8.2.1 DSMART with R......................................................................................224
References........................................................................................................................................229
x vi Contents
9 Combining Continuous and Categorical Modeling: Digital
Soil Mapping of Soil Horizons and Their Depths..............................................231
9.1 Two-Stage Model Fitting and Validation........................................................234
9.2 Spatial Application of the Two-Stage Soil Horizon
Occurrence and Depth Model................................................................................242
References........................................................................................................................................244
10 Digital Soil Assessments ......................................................................................................245
10.1 A Simple Enterprise Suitability Example......................................................245
10.1.1 Mapping Example of Digital Land
Suitability Assessment..........................................................................249
10.2 Homosoil: A Procedure for Identifying Areas with
Similar Soil Forming Factors................................................................................254
10.2.1 Global Climate, Lithology and Topography Data..................254
10.2.2 Estimation of Similarity........................................................................255
10.2.3 The homosoil Function....................................................................256
10.2.4 Example of Finding Soil Homologues ........................................259
References........................................................................................................................................260
Index
261
|
| any_adam_object | 1 |
| author | Malone, Brendan P. Minasny, Budiman McBratney, Alex B. |
| author_GND | (DE-588)1131199243 (DE-588)1131199367 (DE-588)1160325715 |
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| author_sort | Malone, Brendan P. |
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| dewey-raw | 631.4 |
| dewey-search | 631.4 |
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| dewey-tens | 630 - Agriculture and related technologies |
| discipline | Geowissenschaften Informatik Agrar-/Forst-/Ernährungs-/Haushaltswissenschaft / Gartenbau Umwelt Geographie |
| doi_str_mv | 10.1007/978-3-319-44327-0 |
| format | Electronic eBook |
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| language | English |
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| record_format | marc |
| series2 | Progress in Soil Science |
| spelling | Malone, Brendan P. Verfasser (DE-588)1131199243 aut Using R for Digital Soil Mapping Brendan P. Malone, Budiman Minasny, Alex B. McBratney Cham Springer [2017] © 2017 1 Online Ressource (XVI, 262 p. 61 illus., 44 illus. in color) txt rdacontent c rdamedia cr rdacarrier Progress in Soil Science Environment Geographical information systems Statistics Environmental sciences Soil science Soil conservation Soil Science & Conservation Geographical Information Systems/Cartography Math. Appl. in Environmental Science Statistics and Computing/Statistics Programs Statistik R Programm (DE-588)4705956-4 gnd rswk-swf Bodenkartierung (DE-588)4131289-2 gnd rswk-swf Digitale Karte (DE-588)4745787-9 gnd rswk-swf Bodenkartierung (DE-588)4131289-2 s Digitale Karte (DE-588)4745787-9 s R Programm (DE-588)4705956-4 s DE-604 Minasny, Budiman Verfasser (DE-588)1131199367 aut McBratney, Alex B. Verfasser (DE-588)1160325715 aut Erscheint auch als Druck-Ausgabe 978-3-319-44325-6 https://doi.org/10.1007/978-3-319-44327-0 Verlag URL des Erstveröffentlichers Volltext HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029343031&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Malone, Brendan P. Minasny, Budiman McBratney, Alex B. Using R for Digital Soil Mapping Environment Geographical information systems Statistics Environmental sciences Soil science Soil conservation Soil Science & Conservation Geographical Information Systems/Cartography Math. Appl. in Environmental Science Statistics and Computing/Statistics Programs Statistik R Programm (DE-588)4705956-4 gnd Bodenkartierung (DE-588)4131289-2 gnd Digitale Karte (DE-588)4745787-9 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4131289-2 (DE-588)4745787-9 |
| title | Using R for Digital Soil Mapping |
| title_auth | Using R for Digital Soil Mapping |
| title_exact_search | Using R for Digital Soil Mapping |
| title_full | Using R for Digital Soil Mapping Brendan P. Malone, Budiman Minasny, Alex B. McBratney |
| title_fullStr | Using R for Digital Soil Mapping Brendan P. Malone, Budiman Minasny, Alex B. McBratney |
| title_full_unstemmed | Using R for Digital Soil Mapping Brendan P. Malone, Budiman Minasny, Alex B. McBratney |
| title_short | Using R for Digital Soil Mapping |
| title_sort | using r for digital soil mapping |
| topic | Environment Geographical information systems Statistics Environmental sciences Soil science Soil conservation Soil Science & Conservation Geographical Information Systems/Cartography Math. Appl. in Environmental Science Statistics and Computing/Statistics Programs Statistik R Programm (DE-588)4705956-4 gnd Bodenkartierung (DE-588)4131289-2 gnd Digitale Karte (DE-588)4745787-9 gnd |
| topic_facet | Environment Geographical information systems Statistics Environmental sciences Soil science Soil conservation Soil Science & Conservation Geographical Information Systems/Cartography Math. Appl. in Environmental Science Statistics and Computing/Statistics Programs Statistik R Programm Bodenkartierung Digitale Karte |
| url | https://doi.org/10.1007/978-3-319-44327-0 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029343031&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT malonebrendanp usingrfordigitalsoilmapping AT minasnybudiman usingrfordigitalsoilmapping AT mcbratneyalexb usingrfordigitalsoilmapping |