The goal of this lesson is to provide an introduction to R for learners working with geospatial data. It is intended as a pre-requisite for the R for Raster and Vector Data lesson for learners who have no prior experience using R. This lesson can be taught in approximately 4 hours and covers the following topics: Working with R in the RStudio GUI Project management and file organization Importing data into R Introduction to R’s core data types and data structures Manipulation of data frames (tabular data) in R Introduction to visualization Writing data to a file The the R for Raster and Vector Data lesson provides a more in-depth introduction to visualization (focusing on geospatial data), and working with data structures unique to geospatial data.
- Subject:
- Applied Science
- Computer Science
- Information Science
- Mathematics
- Measurement and Data
- Material Type:
- Module
- Provider:
- The Carpentries
- Author:
- Anne Fouilloux
- Chris Prener
- Claudia Engel
- David Mawdsley
- Erin Becker
- François Michonneau
- Ido Bar
- Jeffrey Oliver
- Juan Fung
- Katrin Leinweber
- Kevin Weitemier
- Kok Ben Toh
- Lachlan Deer
- Marieke Frassl
- Matt Clark
- Miles McBain
- Naupaka Zimmerman
- Paula Andrea Martinez
- Preethy Nair
- Raniere Silva
- Rayna Harris
- Richard McCosh
- Vicken Hillis
- butterflyskip
- Date Added:
- 08/07/2020