Introduction to Spatial Data & Using R as a GIS
We are pleased to offer you this short course jointly organised by the Administrative Data Research Centre for England (ADRC-E) and the Consumer Data Research Centre (CDRC).
Please note this course can be taken as a one-day course, or can also be taken in conjunction with other two one-day courses on 15 January and 17 January 2018.
The course will cover an introduction to R, how to load and manage spatial data and how to create maps using R and RStudio. We will show you appropriate ways of using classifications for choropleth maps, using loops in R to create multiple maps and some basic spatial analysis.
We will be using RStudio to work with the R environment. By the end of the course you will be able to load data into R, represent it effectively and be able to prepare an output quality map.
This course is ideal for anyone who wishes to use spatial data in their role. This includes academics, commercial users, government & other public sector researchers who have data with some spatial information (e.g. address, postcode, etc.) which they wish to show on a map. This course is also suitable for those who wish to have an overview of what spatial data can be used for. No previous experience of spatial data is required.
No experience of spatial data, GIS or scripting required. Some basic experience of using Google Earth / Maps would be beneficial.
Further course details can be found here.
More information regarding our courses can be found here.
Podcast for some of our previous courses can be found here.
16th January 2018
Dr Nick Bearman
The fee per day is:
Our courses are very popular and are often oversubscribed. If you cannot attend a course you have registered for, it is essential to kindly notify us a minimum of 30 days in advance so that your place can be released for another attendee. Details of our cancellation policy are here. Please see our full course list here.
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
Course places are limited and registration by 9th January is strongly recommended.