• Geocomputation with R Book Club
  • Welcome
    • Book club meetings
    • Pace
    • 0.1 Quick round of introduction:
  • 1 Introduction
    • 1.1 Foreword 1st edition (R. Bivand)
    • 1.2 Preface
    • 1.3 What is geocomputation?
    • 1.4 Why R
      • 1.4.1 CLI vs GUI
    • 1.5 Software for geocomputation
    • 1.6 R spatial ecosystem
    • 1.7 The history of R-spatial
    • 1.8 Meeting Videos
      • 1.8.1 Cohort 1
  • 2 Geographic data in R
    • 2.1 Introduction
    • 2.2 Vector data:
    • 2.3 Simple features (sf)
    • 2.4 Why simple features, why not using {sp}
    • 2.5 Basic map mapping
    • 2.6 Geometry types
      • 2.6.1 In sf: the workflow:
      • 2.6.2 First is building geometry (sfg)
      • 2.6.3 Simple feature columns (sfc)
      • 2.6.4 sfheaders package
      • 2.6.5 Spherical geometry with s2
    • 2.7 Raster
      • 2.7.1 R packages for raster data
      • 2.7.2 Introduction to terra
      • 2.7.3 Basic map making
      • 2.7.4 Raster classes
    • 2.8 Geographic and projected coordinate reference systems (CRS)
      • 2.8.1 Geographic coordinate systems
      • 2.8.2 Projected coordinate reference systems
      • 2.8.3 Units
    • 2.9 Meeting Videos
      • 2.9.1 Cohort 1
  • 3 Attribute Data Operations
    • 3.1 Vector Objects
      • 3.1.1 Subsetting
      • 3.1.2 Chaining
      • 3.1.3 Aggregation
      • 3.1.4 Joining
      • 3.1.5 Creating and removing attributes
    • 3.2 Raster Objects
      • 3.2.1 Subsetting
      • 3.2.2 Summarizing
    • 3.3 Meeting Videos
      • 3.3.1 Cohort 1
  • 4 Spatial data operations
    • 4.1 Learning objectives Spatial Operations on Vectors
    • 4.2 Learning Objectives Spatial Operations on Rasters
    • 4.3 SLIDE Vectors Spatial Subsetting
    • 4.4 SLIDE Vectors Topological Relations
    • 4.5 SLIDE Vectors Spatial Joining
    • 4.6 SLIDE Vectors - Spatial Aggregation
    • 4.7 SLIDE Vectors - Spatial Congruence
    • 4.8 SLIDE Vectors - Distance Relations
    • 4.9 SLIDE Rasters 1 4.3
    • 4.10 Slide Raster - Vector Processing Counterparts
    • 4.11 Merging Rasters
    • 4.12 Meeting Videos
      • 4.12.1 Cohort 1
  • 5 Geometry operations
    • 5.1 Vector Data
    • 5.2 Simplifying Lines
    • 5.3 Simplifying Polygons
      • 5.3.1 smoother algorithms
    • 5.4 Centroids
    • 5.5 Buffers
    • 5.6 Shift
    • 5.7 Scale
    • 5.8 Rotate
    • 5.9 Clipping
      • 5.9.1 Intersection
      • 5.9.2 Venn Diagrams
    • 5.10 Geometry Unions
    • 5.11 Type Transformations
      • 5.11.1 New Objects
    • 5.12 Attribute Creation
    • 5.13 Raster Data
    • 5.14 Extent
    • 5.15 Origin
    • 5.16 Aggregation
      • 5.16.1 Disaggregation
    • 5.17 Resampling
    • 5.18 Meeting Videos
      • 5.18.1 Cohort 1
  • 6 Raster-vector interactions
    • 6.1 Raster cropping/masking
    • 6.2 Raster cropping/masking: Crop
    • 6.3 Raster cropping/masking: mask
    • 6.4 Raster extraction
      • 6.4.1 Extracting value on points
      • 6.4.2 Extracting value on lines
      • 6.4.3 Extracting value on polygons
      • 6.4.4 With quantitative data:
      • 6.4.5 With qualitative data:
    • 6.5 Rasterization
    • 6.6 Spatial vectorization
    • 6.7 Meeting Videos
      • 6.7.1 Cohort 1
  • 7 Reprojecting geographic data
    • 7.1 Coordinate Reference System (CRS)
    • 7.2 Querying and Setting CRS
      • 7.2.1 For vector:
      • 7.2.2 Raster:
    • 7.3 Geometry operations on projected/unprojected data
    • 7.4 When to project?
    • 7.5 Which CRS to use?
      • 7.5.1 Projected:
    • 7.6 Reprojecting vector geometries:
    • 7.7 Reprojecting raster:
    • 7.8 My tl:dr
    • 7.9 Resources:
    • 7.10 Meeting Videos
      • 7.10.1 Cohort 1
  • 8 Geographic data I/O
    • 8.1 Retrieving Open Data
    • 8.2 Geographic Data Packages
      • 8.2.1 Example 1: rnaturalearth
      • 8.2.2 Example 2: geodata
      • 8.2.3 Example 3: osmdata
      • 8.2.4 Built-in datasets
      • 8.2.5 Geocoding
    • 8.3 Geographic Web Services
    • 8.4 File Formats
    • 8.5 Data Input
      • 8.5.1 Vector Data
      • 8.5.2 Raster Data
    • 8.6 Data Output
    • 8.7 Visual Outputs
    • 8.8 Exercises
    • 8.9 Meeting Videos
      • 8.9.1 Cohort 1
  • 9 Making maps with R
    • 9.1 Space and Time
      • 9.1.1 Historical
      • 9.1.2 Base R
      • 9.1.3 Science Communication
      • 9.1.4 Ease of Use
    • 9.2 tmap Basics
      • 9.2.1 Quick Thematic Maps
    • 9.3 Map Objects
      • 9.3.1 Layers
      • 9.3.2 Pipeline
      • 9.3.3 Arrange
    • 9.4 Aesthetics
    • 9.5 Colors
      • 9.5.1 Breaks
      • 9.5.2 Palettes
    • 9.6 Elements
      • 9.6.1 Compass and Scale Bar
      • 9.6.2 Settings
      • 9.6.3 Themes
    • 9.7 Inset Maps
    • 9.8 Facets
    • 9.9 Animated Maps
    • 9.10 Interactive Maps
      • 9.10.1 Mapview
      • 9.10.2 Mapdeck
      • 9.10.3 Leaflet
    • 9.11 Shiny
    • 9.12 Other Mapping Packages
      • 9.12.1 Specific Map Types
    • 9.13 Meeting Videos
      • 9.13.1 Cohort 1
  • 10 Bridges to GIS software
    • 10.1 SLIDE 1
    • 10.2 Meeting Videos
      • 10.2.1 Cohort 1
  • 11 Scripts, algorithms and functions
    • 11.1 SLIDE 1
    • 11.2 Meeting Videos
      • 11.2.1 Cohort 1
  • 12 Statistical Learning
    • 12.1 Terminology
      • 12.1.1 Code Packages
    • 12.2 Case Study: Landslide Susceptibility
      • 12.2.1 Response Variable
      • 12.2.2 Predictor Variables
    • 12.3 Supervised Learning
      • 12.3.1 AUROC
    • 12.4 Spatial Cross-Validation
    • 12.5 mlr3
    • 12.6 GLM
    • 12.7 Spatial Resampling
    • 12.8 SVM
    • 12.9 Tuning
    • 12.10 Meeting Videos
      • 12.10.1 Cohort 1
  • 13 Transportation
    • 13.1 Bristol Case Study
    • 13.2 Transport Zones
    • 13.3 Desire Lines
    • 13.4 Nodes
    • 13.5 Routes
    • 13.6 Route Networks
    • 13.7 Prioritizing New Infrastructure
    • 13.8 Future Directions of Travel
    • 13.9 Meeting Videos
      • 13.9.1 Cohort 1
  • 14 Geomarketing
    • 14.1 Case Study: Bike Shops in Germany
    • 14.2 Tidy input data
    • 14.3 Create census rasters
    • 14.4 Define metropolitan areas
    • 14.5 Points of interest
    • 14.6 Identifying suitable locations
    • 14.7 Meeting Videos
      • 14.7.1 Cohort 1
  • 15 Ecology
    • 15.1 Data
    • 15.2 Preprocessing
      • 15.2.1 Bridges to GIS Software
      • 15.2.2 Site Locations
    • 15.3 Reducing Dimensionality
    • 15.4 NMDS
    • 15.5 Floristic Gradient
    • 15.6 Prediction
    • 15.7 Meeting Videos
      • 15.7.1 Cohort 1
  • 16 Conclusion
    • 16.1 Package Choice
    • 16.2 Gaps and Overlaps
    • 16.3 Getting Help
    • 16.4 Where to go next
    • 16.5 FOSS
    • 16.6 Meeting Videos
      • 16.6.1 Cohort 1
  • Published with bookdown

Geocomputation with R Book Club

7.9 Resources:

  • http://www.geo.hunter.cuny.edu/~jochen/gtech201/lectures/lec6concepts/map%20coordinate%20systems/how%20to%20choose%20a%20projection.htm#

  • https://ihatecoordinatesystems.com/

  • https://mgimond.github.io/tissot/