Difference between revisions of "Lesson02"
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* Read Chapter 2, 3, 8, 9, 10 of Gimond, M. (2018) '''Intro to GIS and Spatial Analysis''' [https://mgimond.github.io/Spatial/index.html] | * Read Chapter 2, 3, 8, 9, 10 of Gimond, M. (2018) '''Intro to GIS and Spatial Analysis''' [https://mgimond.github.io/Spatial/index.html] | ||
| − | + | * Complete the entire course of '''Spatial Analysis in R with sf and raster''' of Datacamp. | |
Revision as of 16:14, 8 January 2019
IS415 GeoSpatial Analytics and Applications
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Geospatial Data Handling in R
Contents
Content
- Properties of geographical data
- Classes for geospatial data in R
- Simple features data in R
- Georeferencing
- Using R as a GIS
Must do
- Read Chapter 2, 3, 8, 9, 10 of Gimond, M. (2018) Intro to GIS and Spatial Analysis [1]
- Complete the entire course of Spatial Analysis in R with sf and raster of Datacamp.
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. [2]
Pebesma, Z. (2018) sf: Simple Features for R [3]
Pebesma, Edzer, and Roger Bivand. 2018. sp: Classes and Methods for Spatial Data. [4]
Bivand, Roger, Tim Keitt, and Barry Rowlingson. 2018. rgdal: Bindings for the ’Geospatial’ Data Abstraction Library. [5]
Bivand, Roger, and Colin Rundel. 2018. rgeos: Interface to Geometry Engine - Open Source (’Geos’). [6]
Hijmans, R.J. (2018) raster: Geographic Data Analysis and Modeling [7]
Lesson competencies
Technical References
Maling, D. H. 1992. Coordinate Systems and Map Projections. 2nd ed. Oxford ; New York: Pergamon Press.
