Geographic Information Systems (GIS) for data analysts

Tutor: Dr Nicholas Gould

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It’s been said that 80% of data has a spatial component. This course will look beyond simply mapping spatial data and provide an introduction to spatial analysis techniques. Since this course is aimed at data analysts, we will focus on human rather than physical geography and thus vector rather than raster datasets. The software used is open source and the datasets used are open data. It is in this spirit that these training materials are released under a creative commons license.

Materials

Session 1: presentation - Introduction to GIS

In the first session we will introduce GIS - what it is and why use it? Some of the key concepts for GIS such as scale and projections will be introduced.

Session 1 slides (pdf)

Session 2: practical - Introduction to GIS with QGIS

The aim of this practical session is to provide a hands-on introduction to doing GIS with QGIS. We will focus on vector data, in particular point and polygon analysis. The exercises have been tested using version 3.8 of QGIS.

Session 2 Workbook (pdf)

Data for exercises (zip file 41Mb)

Session 3: presentation - Spatial analysis without a GIS

This session concentrates on tools such as R and Python that can be used for doing spatial analysis without using a GIS.

Session 3 slides (pdf)

Creative Commons Licence
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.