Courses and Events
Confident Spatial Analysis (join a waiting list)
UCL, Pearson Building, Gower Street, London
View in Goolge Maps (WC1E 6BT)
Course No.: ADRCE Training032 Bearman
NOTE: THIS COURSE IS NOW FULLY BOOKED AND THE ON-LINE BOOKING SYSTEM HAS BEEN CLOSED. YOU CAN JOIN OUR WAITING LIST.
We are pleased to offer you this short course jointly organised by the Administrative Data Research Centre for England (ADRC-E) and Consumer Data Research Centre (CDRC). www.cdrc.ac.uk
In this course we will cover how to prepare and analyse spatial data in RStudio & GeoDa. We will use RStudio to perform spatial overlay techniques (such as union, intersection and buffers) to combine different spatial data layers to support a spatial analysis decision. We will also use RStudio and GeoDa to explore a range of different spatial analyses including regression, Moran’s I and clustering. By the end of the course you will understand how RStudio manages spatial data and be able to use RStudio for a range of spatial analysis.
If you are not already familiar with the basic elements of GIS or R, you may wish to attend the course “Introduction to Spatial Data & Using R as a GIS” prior to this course where these skills are covered.
• Basic spatial analysis and statistics, such as Moran’s I and Local Indicators of Spatial Autocorrelation
• Using GeoDa and R to perform these analysis and understand the outputs
• Be aware of the advantages and disadvantages of different pieces of software
• Perform spatial decision making in R, using buffers, overlays and spatial joins
By the end of the course, students will be able to:
• Know how to use RStudio and GeoDa for a range of spatial analysis
• Understand why spatial autocorrelation is important and how to measure it
• Be able to use GeoDa to perform clustering analysis
• Understand how to use buffers and overlays to support your proposals
• Develop your confidence in using RStudio for data handling using scripts
• Know how to develop custom functions in RStudio
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 advanced 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 and already has a basic knowledge of GIS and R. The target audience includes government & other public sector researchers who have spatial data and wish to perform more detailed analysis.
This course is for you if you already know the basics of GIS, but want to develop your GIS skills in R. Some scripting experience is recommended. In this course you will understand how RStudio manages spatial data and be able to use RStudio for a range of spatial analysis. If you are not already familiar with the basic elements of GIS or R, you may wish to attend the course “Introduction to Using R for Spatial Analysis” prior to this course where these skills are covered.
Provisional Event Outline
• 10:00am – 10:15am – Registration & Refreshments
• 10:15am – 10:30am – Spatial data and Exploratory Data Analysis
• 10:30am – 11:00am – Practical 1 RStudio and Map Making recap
• 11:00am - 11:20am – Spatial Analysis
• 11:20am - 12:30pm – Practical 2 Performing Spatial Analysis
• 12:30pm – 1:30pm – Lunch
• 1:30pm – 1:45pm – Spatial Decision Making
• 1:45pm - 3:00pm – Practical 3 Buffers and Intersections
• 3:00pm - 3:15pm – Tea/Coffee
• 3:15pm - 4pm/4:30pm – Practical 4 Regression
Dr Nick Bearman
ADRC-E/University of Southampton & CDRC/UCL
Intermediate (some prior knowledge)
Course Fee: The fee per day is: 1. £30 - For UK registered postgraduate students 2. £60 - For staff at UK academic institutions, Research Council UK funded researchers, UK public sector staff and staff at UK registered charity organisations 3. Free place for ADRC/ADRN/ADS staff 4. £220 - For all other participants
Website and registration
Spatial data, GIS, R, RStudio, GeoDa, exploratory data analysis, spatial autocorrelation, spatial data analysis, overlays, map, mapping, geographic information systems, clustering
Related publications and presentations