02 - R Spatial Workshop Schedule
18 April 2017
R - Fundamentals of Spatial Data
In this workshop we will focus on some basics of using the R language, reading and writing spatial data in R, dealing with map projections, and the structure of spatial data in R. We’ll explore ways to work with raster data in R – reading, creating and manipulating raster data – and then we’ll look at some examples of both vector and raster analysis in R such as subsetting, extracting information, and overlaying data using R packages such as sp, sfr, rgdal, raster, and rgeos. This is an introductory workshop – some familiarity with R is ideal but not required.
8:30 am:
Introductions and Workshop Logistics:
- Brief Introductions
- Discuss Logistitcs
8:45 am - 9:45 am:
Lesson 01 - Spatial Objects and Libraries in R:
- R primary spatial packages
- How spatial data is read into and structured in R
- Some introductory exploratory spatial data analysis examples using vector data
9:45 am - 10:30 am:
Lesson 02 - A Gentle Introduction to the New Simple Features for R package:
- What are simple features?
- What is advantage of learning this package compared to using the
sppackage and object structure? - Some examples of reading data in with
sf, working with projections, simple analyses
10:45 am - 11:00 am:
Break
11:00 am - 12:00 pm:
Lesson 03 - Exploring raster data in R:
- Raster data packages and working with rasters in R
- Example raster data analyses in R
Extra Credit - Other things to try:
- Other packages and techniques to play with if time allows
12:00 pm - 1:30 pm:
Lunch
1:30 pm - 4:30 pm:
Advanced Visualization Techniques in R With Spatial Data
This workshop will dive into mapping and visualization with R packages such as ggplot and Leaflet, and we will also cover creating interactive visualizations with Shiny. Familiarity with R or completion of the morning workshop is helpful preparation for this workshop.