Training and Events
Introduction to Spatial Data & Using R as a GIS
|ADRC-E/University of Southampton & CDRC/UCL|
Dr Nick Bearman
Southampton Statistical Sciences Research Institute, Building 39, University of Southampton, Southampton
View in Google Maps (SO17 1BJ)
Course No.: ADRCE Training044 Bearman
Course places are limited and registration by 9 January 2018 is strongly recommended.
We are pleased to offer you this short course jointly organised by the Administrative Data Research Centre for England (ADRC-E) www.adrn.ac.uk/about/network/england and Consumer Data Research Centre (CDRC) www.cdrc.ac.uk
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.
This 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.
Some basic spatial analysis in R
By the end of the course, students will be able to:
• 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
Dr Nick Bearman, FRGS, CGeog (GIS), AFHEA
Nick has been teaching undergrad & postgrad level at a range universities in the UK including Universities of Liverpool, East Anglia and Exeter.
He is a Chartered Geographer (GIS), Fellow of Royal Geographical Society (RGS) and Associate Member of Higher Education Authority, with 9 years’ experience. He has advanced knowledge of Geographic Information Systems (GIS), working with many sources and types of spatial and non-spatial data, including big data.
Nick has taught GIS to a wide range of students across many subject areas including Geography, International Development and Public Health. The courses range from day courses to two week residential courses, for users from undergraduate students with no GIS experience to advance spatial analysis, designed to give the students the best set of skills for the work they need to do.
This course is ideal for anyone who wishes to use spatial data in their role. This includes 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.
• 10:00am – 10:15am – Registration & Refreshments
• 10:15am – 10:45am – What is GIS & R?
• 10:45am – 11:15am – Practical 1: Intro to GIS & R
• 11:15am – 11:45am – Classification
• 11:45am – 12:30pm – Practical 1: Intro to GIS & R ctd.
• 12:30pm – 1:30pm – Lunch
• 1:30pm – 1:45pm – Recap and Making Maps
• 1:45pm – 3:00pm – Practical 2: Analysis
• 3:00pm – 3:15pm – Coffee
• 3:15pm – 4pm/4:30pm – Practical 2: Bring your own data
Intermediate (some prior knowledge)
Website and registration
Spatial Data Analysis, Geographical Information System (GIS), Spatial data, GIS, R, Rstudio, spatial data analysis, choropleth, map, mapping, geographic information systems, choropleth maps, symbology
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