Analysing Spatial Data using R

We will look at how spatial data (vector, raster) can be manipulated using R. These techniques will be applied to analysing spatial inequality and electrification using night lights data. This is a two-day course.

Course Content:

• Loading and operations on spatial vector data (points, lines, polygons)
  • Loading spatial vector data into R
  • Map plotting
  • Define spatial projection
  • Sub-setting polygons
• Loading and operations on raster (grid) data
  • Loading a raster layer
  • Basic exploration of raster data
  • Define and changing raster projection
  • Plotting raster data
  • Crop and mask raster data
  • Extract values from raster data
  • Multiple layers of raster layers - raster stack, raster brick
• Application using the DMSP-OLS night-time lights series

Prerequisites: Course participants should be familiar with R and with basic statistical tools. Don't know R? Have a look at our Introduction to Data Analysis using R course.

Dates: To be confirmed

Mode of Delivery: This course will be offered online.

Course Instructors: 

Course Fees: The cost of the course is R 4 500.00. 

Closing Date:

*DataFirst reserves the right to postpone or cancel this course due to lack of demand.