Difference between revisions of "Lesson02"
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Pebesma, Edzer. (2018) “Simple Features for R: Standardized Support for Spatial Vector Data.” ''The R Journal'', Vol. 10/1, 439:446. [https://journal.r-project.org/archive/2018/RJ-2018-009/RJ-2018-009.pdf] | Pebesma, Edzer. (2018) “Simple Features for R: Standardized Support for Spatial Vector Data.” ''The R Journal'', Vol. 10/1, 439:446. [https://journal.r-project.org/archive/2018/RJ-2018-009/RJ-2018-009.pdf] | ||
| − | Pebesma, Z. (2018) | + | Pebesma, Z. (2018) '''sf: Simple Features for R''' [https://cran.r-project.org/web/packages/sf/index.html] |
Pebesma, Edzer, and Roger Bivand. 2018. '''sp: Classes and Methods for Spatial Data'''. [https://CRAN.R-project.org/package=sp] | Pebesma, Edzer, and Roger Bivand. 2018. '''sp: Classes and Methods for Spatial Data'''. [https://CRAN.R-project.org/package=sp] | ||
Revision as of 14:10, 8 January 2019
IS415 GeoSpatial Analytics and Applications
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Lesson 2: 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
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]
Lesson competencies
Technical References
Maling, D. H. 1992. Coordinate Systems and Map Projections. 2nd ed. Oxford ; New York: Pergamon Press.
