Introduction to Spatial Data & Using R as a GIS – Liverpool
This training course is now fully booked. Alternatively, this course will also be held at University of Oxford, Saïd Business School at 1 December 2017. Please find further details here.
Please note this course can be taken as a one-day course, or can also be taken in conjunction with another one-day courses on 20th November 2017.
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.
• The basic theories behind spatial data, such as projections and coordinate systems
• Different types of spatial data, including vector, raster and point, line and polygon
• How to create a choropleth map, and why colours and classifications are important
• Working with spatial data in R & Rstudio
• Reprojecting data in R
• Some basic spatial analysis in R
• Use R to read in CSV data
• Use R to read in spatial data
• Know how to plot spatial data using R
• Join spatial data to attribute data
• Customize colour and classification methods
• Understand how to use loops to make multiple maps
• Know how to reproject spatial data
• Be able to perform point in polygon operations
• Know how to write shape files
• Know how create a ‘heat-map’ style map using point data
Please email email@example.com for more information.
£60 – UK registered students – register here
£100 – staff at UK academic institutions and research centres, UK-registered charity and voluntary organisations, staff in public sector and government – register here
£300 – all other participants including staff from commercial organisations – register here
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
Numbers on the course are limited and allocated on a first come, first served basis.