Introduction to QGIS: Spatial Data and Spatial Analysis - Online
07/03/2023 - 14/03/2023
NCRM, University of Southampton
Dr Nick Bearman
Entry (no or almost no prior knowledge)
Jacqui Thorp, Training and Capacity Building Co-Ordinator, National Centre for Research Methods, University of Southampton
In this online two day course (taught over four mornings) you will learn what GIS is, how it works and how you can use it to create maps and perform spatial analysis. We assume no prior knowledge of GIS and you will learn how to get data into the GIS, how to produce maps using your own data and what you can and cannot do with spatial data. You will also learn how to work with a variety of different data sources and types (including XY coordinate data and address or postcode data) and using spatial overlays, point in polygon analysis and spatial joins.
The course covers:
- What is GIS and spatial data?
- How to classify data for a choropleth map
- How to create a publication ready map
- How to work with different data sources including XY coordinate and postcode data
- Using attribute and spatial joins
- Using spatial overlays and spatial analysis
- How to apply these skills to your own data
By the end of the course participants will:
- Be able to set up QGIS and add data
- Know how to classify data for a choropleth map
- Be able to join tabular data to spatial data
- Designing and producing a publication ready map in QGIS
- Understand how to import a range of data types into QGIS
- Be able to locate and open a range of GIS data sets
- Know how to apply GIS analysis tools including spatial overlays and point in polygon.
- Be confident at applying the skills to their own data
This course is ideal for anyone who wishes to use spatial data in their role. This includes students, academic, 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 GIS and spatial data can be used for, and how you can better represent your data with maps. No previous experience of spatial data is required.
Please note this course is two days for payment purposes but will be taught over four mornings on the 7th, 8th, 13th and 14th March from 10am-1pm.
The fee per teaching day is:• £30 per day for registered students• £60 per day for staff at academic institutions, Research Councils researchers, public sector staff, staff at registered charity organisations and recognised research institutions. • £100 per day for all other participantsIn the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. No refunds are available after this date.If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of the cancellation of a course.
Website and registration:
Spatial Data Analysis, Quantitative Software, Area-based analysis, Geographical Information System (GIS), Cartography , Maps
Related publications and presentations: