Home » Introduction to QGIS: Understanding and Presenting Spatial Data

Introduction to QGIS: Understanding and Presenting Spatial Data

Date/Time
Date(s) - 15/01/2018
10:00 am - 4:30 pm

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We are pleased to offer you this short course jointly hosted by the Consumer Data Research Centre (CDRC) with the Administrative Data Research Centre for England (ADRC-E).

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).

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.

No previous experience of GIS or QGIS is required, but some experience of using spatial data will be beneficial.

Further course details, including fees, can be found here.

Course Code: (to quote to the ADRC-E)
ADRCE-training047 Bearman

Course Date:
15th January 2018

Places Available:
26

Course Leader:
Dr Nick Bearman

Course Description:
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

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