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]
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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 14:02, 8 January 2019

Claraview.png 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]

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

Pebesma, Edzer, Thomas Mailund, and James Hiebert. 2016. “Measurement Units in R.” The R Journal 8 (2): 486–94.



Lesson competencies

Technical References

Application References