A GIS Crash Course using R
1
Prerequisites
1.1
Download Data
1.2
What is GIS?
1.3
Why use R?
2
GIS Fundamentals
2.1
Spatial Data 101
2.2
Geographic Coordinate Systems
2.3
Map Projections
2.4
Choosing a Projection
2.5
Summary
2.5.1
More Resources
3
Geographic Vector and Raster Data with R
3.1
Vector Data
3.1.1
Points
3.1.2
Lines
3.1.3
Polygons
3.2
Raster
3.3
Read Spatial Data
3.3.1
Tabular Data with XY Coordinates
3.3.2
Shapefiles
3.3.3
Programmatically
3.4
Dynamic Maps with
mapview
4
GIS Analysis Toolkit
4.1
Attribute Queries
4.2
Spatial Queries
4.3
Attribute Joins
4.4
Buffers
4.5
Union
4.6
Intersection
4.7
Spatial Joins
5
Spatial cluster analysis
5.1
sp vs sf
5.2
Kernel Density Estimation
5.2.1
Planar
5.2.2
Network
5.3
Local Indicators of Spatial Association (LISA)
5.4
Spatial Weights Matrix
5.4.1
Planar
5.4.2
Network
6
Final Words
References
Published with bookdown
A Crash Course in Geographic Information Systems (GIS) using R
Chapter 6
Final Words
We have finished a nice book.