Introduction to Spatial Data, Using R as a GIS and Spatial Statistics in R

The Social Data Institute is delighted to be hosting a free two day in person course lead by Nick Bearman on Introduction to Spatial Data, Using R as a GIS and Spatial Statistics in R.

In this two day course we will explore how to use R to import, manage and process spatial data. We will also cover the process of making choropleth maps, as well as some basic spatial analysis. We will cover the use of loops to make multiple maps quickly and easily, one of the major benefits of using a scripting language to make maps, rather than traditional graphic point-and-click interface.

we will also show you how to prepare and conduct spatial analysis on a variety of spatial data in R, including a range of spatial overlays and data processing techniques. We will also cover how to use GeoDa to perform exploratory spatial data analysis, including making use of linked displays and measures of spatial autocorrelation and clustering.

This course requires no prior knowledge of GIS or spatial data and is open to SHS students and staff only. No previous experience of GIS or scripting is needed, but if participants have experience with one or the other (GIS or scripting), this will make the course a bit easier.

The course will take place on the UCL campus on the 22nd and 23rd June, between the hours of approximately 9am-5pm.