tmap: elegant and effective thematic maps in R
Welcome
How to contribute?
Additional information
1
Introduction
1.1
What is
tmap
?
1.2
Thematic maps
2
Spatial data in R
2.1
Introduction
2.2
Data models
2.2.1
Vector data model
2.2.2
Raster data model
2.2.3
Spatial data cubes
2.3
Spatial data representations in R
2.3.1
The sf package
2.3.2
The stars package
2.4
Map projections (CRS)
2.4.1
What are map projections?
2.4.2
A model of the Earth
2.4.3
Platte Carrée and Web Mercator
2.4.4
Types of map projections
2.4.5
Which projection to choose?
2.4.6
CRS in R
3
tmap
in a nutshell
3.1
Shape objects
3.2
Quick maps
3.3
Regular maps
3.4
Map modes
3.5
Small multiples
3.6
Animations
4
Specifying spatial data
4.1
Shapes and layers
4.2
Shapes hierarchy
4.3
Map projection
4.4
Map extent
4.5
Data simplification
5
Layers
5.1
Polygons
5.2
Symbols
5.3
Lines
5.4
Text
5.5
Raster
5.6
Tile
6
Visual variables
6.1
Colors
6.1.1
Color palettes
6.1.2
Color scale styles
6.2
Sizes
6.3
Shapes
6.4
Mixing visual variables
7
Other types
8
Layout
8.1
Typography
8.1.1
Font families and faces
8.1.2
Fonts available in
tmap
8.1.3
Fonts on maps
8.2
Attributes layers
8.2.1
Grid lines
8.2.2
Scale bar
8.2.3
North arrow
8.2.4
Text annotation
8.2.5
Logo
8.2.6
Axis labels
8.2.7
Minimap
8.3
Layout elements
9
Interactive settings
10
Small multiples
10.1
Vector data
10.2
Raster data
11
tmap options
12
Save maps
12.1
Raster graphic formats
12.2
Vector graphic formats
12.3
Interactive format
13
Animations
14
tmap
in
shiny
15
How to make good maps?
References
Martijn Tennekes
Jakub Nowosad
Elegant and informative maps with
tmap
Chapter 10
Small multiples
10.1
Vector data
10.2
Raster data