[英文] Geocomputation with R
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14.5 Conclusions
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2019-03-20 21:29:27
In terms of methodology, a few additional points could be addressed:
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Welcome
Foreword
8 Making maps with R
Prerequisites
8.1 Introduction
8.2 Static maps
8.3 Animated maps
8.4 Interactive maps
8.5 Mapping applications
8.6 Other mapping packages
8.7 Exercises
9 Bridges to GIS software
Prerequisites
9.1 Introduction
9.2 ®QGIS
9.3 ®SAGA
9.4 GRASS through rgrass7
9.5 When to use what?
9.6 Other bridges
9.7 Exercises
10 Scripts, algorithms and functions
Prerequisites
10.1 Introduction
10.2 Scripts
10.3 Geometric algorithms
10.4 Functions
10.5 Programming
10.6 Exercises
11 Statistical learning
Prerequisites
11.1 Introduction
11.2 Case study: Landslide susceptibility
11.3 Conventional modeling approach in R
11.4 Introduction to (spatial) cross-validation
11.5 Spatial CV with mlr
11.6 Conclusions
11.7 Exercises
12 Transportation
Prerequisites
12.9 Future directions of travel
12.10 Exercises
12.1 Introduction
12.2 A case study of Bristol
12.3 Transport zones
12.4 Desire lines
12.5 Routes
12.6 Nodes
12.7 Route networks
12.8 Prioritizing new infrastructure
13 Geomarketing
Prerequisites
13.9 Exercises
13.1 Introduction
13.2 Case study: bike shops in Germany
13.3 Tidy the input data
13.4 Create census rasters
13.5 Define metropolitan areas
13.6 Points of interest
13.7 Identifying suitable locations
13.8 Discussion and next steps
14 Ecology
Prerequisites
14.1 Introduction
14.2 Data and data preparation
14.3 Reducing dimensionality
14.4 Modeling the floristic gradient
14.5 Conclusions
14.6 Exercises
15 Conclusion
Prerequisites
15.1 Introduction
15.2 Package choice
15.3 Gaps and overlaps
15.4 Where to go next?
15.5 The open source approach
References
Preface
1 Introduction
1.1 What is geocomputation?
1.2 Why use R for geocomputation?
1.3 Software for geocomputation
1.4 R’s spatial ecosystem
1.5 The history of R-spatial
1.6 Exercises
2 Geographic data in R
Prerequisites
2.1 Introduction
2.2 Vector data
2.3 Raster data
2.4 Coordinate Reference Systems
2.5 Units
2.6 Exercises
3 Attribute data operations
Prerequisites
3.1 Introduction
3.2 Vector attribute manipulation
3.3 Manipulating raster objects
3.4 Exercises
4 Spatial data operations
Prerequisites
4.1 Introduction
4.2 Spatial operations on vector data
4.3 Spatial operations on raster data
4.4 Exercises
5 Geometry operations
Prerequisites
5.1 Introduction
5.2 Geometric operations on vector data
5.3 Geometric operations on raster data
5.4 Raster-vector interactions
5.5 Exercises
6 Reprojecting geographic data
Prerequisites
6.1 Introduction
6.2 When to reproject?
6.3 Which CRS to use?
6.4 Reprojecting vector geometries
6.5 Modifying map projections
6.6 Reprojecting raster geometries
6.7 Exercises
7 Geographic data I/O
Prerequisites
7.9 Exercises
7.1 Introduction
7.2 Retrieving open data
7.3 Geographic data packages
7.4 Geographic web services
7.5 File formats
7.6 Data input (I)
7.7 Data output (O)
7.8 Visual outputs
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