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: 23 to 24 January 2020

Venue: Teaching Lab 2, Economics Building, Middle Campus, University of Cape Town

Course Instructors:  Dr Takwanisa Machemedze

Course Fees: The cost of the course is R 6 200.00. 

Closing Date: Apply Online by 18 October 2019

 

 

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Visit:  Suite 3.48, 3rd floor, School of Economics Building, Middle Campus, University of Cape Town, Rondebosch, Cape Town 
Mail: Private Bag X3, Rondebosch, 7701, Cape Town, South Africa 
Call: +27 (0)21 650 5708
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