Introduction to QGIS: Understanding and Presenting Spatial Data

Description:

Course No.:   ADRCE Training047 Bearman

Course places are limited and registration by 8 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 16 January and 17 January 2018.

This course will introduce spatial data and show you how to import and display spatial data with the free open source GIS program QGIS. We will also show you how to create choropleth maps and explain appropriate methods of visualising spatial data. We will also cover some basic spatial data analysis (e.g. calculating rates). No previous experience of GIS or QGIS is required, but some experience of using spatial data will be beneficial.

Course Contents       

• Understand spatial data and what it can and can’t be used for
• Use QGIS to view and symbolise spatial datasets
• Appropriate symbology for choropleth maps
• Joining spatial and non-spatial data

Learning Outcomes

By the end of the course, students will be able to:

• Be able to set up QGIS and add data
• Understand how to add data with a latitude / longitude coordinate
• Join tabular data to spatial data
• Understand how to undertake simple calculations
• Understanding how to classify data for representation on a map
• Designing and producing a publication-ready map in QGIS
• Saving/exporting your maps as image files

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 advanced 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 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. 

Provisional Event Outline

• 10:00am – 10:15am – Registration & Refreshments
• 10:15am – 10:30am – What is GIS?
• 10:30am – 11:15am – Practical 1: Intro to QGIS
• 11:15am – 11:45am – Classification
• 11:45am – 12:30pm – Practical 1: Intro to QGIS ctd.
• 12:30pm – 1:30pm – Lunch
•   1:30pm – 1:45pm – Recap and Map Design
•   1:45pm – 3:00pm – Practical 2: Tiger Map
•   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, QGIS, spatial data analysis, choropleth, map, mapping, training course, training, 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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