Introduction to Spatial Data & Using R as a GIS

Description:

Course No.:     ADRCE Training044 Bearman

Course places are limited and registration by 9 January 2018 is strongly recommended. 

Event Description

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.

Course Contents

• 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

Learning Outcomes

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

Presenter

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.

He uses QGIS, R/RStudio and ArcGIS and has used these with a range of programming and APIs including Google Maps API, JavaScript, MySQL/PHP, R, Python, PostGreSQL and GeoDa. Nick has been using GIS products and applying them in a variety of contexts for 13 years.

Target Audience

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.

Provisional Programme

•           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

Cost:

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. £220 - For all other participants
4. Free place for ADRC/ADRN/ADS staff

Website and registration:

Region:

South East

Keywords:

Spatial Data Analysis, Geographical Information System (GIS), Spatial data, GIS, R, Rstudio, spatial data analysis, choropleth, map, mapping, geographic information systems, choropleth maps, symbology

Related publications and presentations from our eprints archive:

Spatial Data Analysis
Geographical Information System (GIS)

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