Lesson02

IS415 GeoSpatial Analytics and Applications

About

Weekly Session

Take-home Exercises

Geospatial Analytics Project

Course Resources

Lesson 2: Geospatial Data Handling in R

Content

• Properties of geographical data
• Classes for geospatial data in R
• Simple features data in R
• Georeferencing
• Using R as a GIS

R Packages for Spatial Data Handling

Pebesma, Edzer. (2018) “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal, Vol. 10/1, 439:446. [1]

Pebesma, Z. (2018) "sf: Simple Features for R" [2]

Pebesma, Edzer, and Roger Bivand. 2018. sp: Classes and Methods for Spatial Data. [3]

Bivand, Roger, Tim Keitt, and Barry Rowlingson. 2018. rgdal: Bindings for the ’Geospatial’ Data Abstraction Library. [4]

Bivand, Roger, and Colin Rundel. 2018. rgeos: Interface to Geometry Engine - Open Source (’Geos’). [5]

Hijmans, R.J. (2018) raster: Geographic Data Analysis and Modeling [6]

Technical References

Maling, D. H. 1992. Coordinate Systems and Map Projections. 2nd ed. Oxford ; New York: Pergamon Press.