Confident Spatial Analysis in QGIS (few places remaining)

Description:

Course No.:   ADRCE Training054  Bearman

PLEASE NOTE: more details about this postponed course will appear shortly.

Course places are limited and registration by 17 May 2018 is strongly recommended. 

Event Description

Please note this course can be taken as a one-day course, or can also be taken in conjunction with another one-day course on 28 March 2018.

This one day event for researchers lead by Clear Mapping Co, will cover how to prepare and analyse spatial data using a range of techniques in QGIS.

In this course we will cover how to use a variety of different types of spatial data. We will show you how to display data with postcodes, plot data with XY coordinates (e.g. crime data) and analyse a range of data using tools such as spatial overlay, buffers and a range of other spatial analyses. We will recap the basic theory needed to understand what is happening in GIS, as well as giving you step-by-step practical instructions to work with a range of types of data in QGIS, the market leading free, open-source GIS. We will also show you how to combine different data layers and use the GIS to help you make spatial decisions.

Course Contents

The course covers:

• Plotting data with XY points
• Understanding why coordinate systems are important
• Finding and evaluating spatial data for fitness for use
• Use a range of spatial overlay techniques in QGIS

Learning Outcomes:

By the end of the course participants will:

• Be able to locate and open a range of GIS data sets
• Understand how to import, join and make use of postcode and XY coordinate based data
• Know how to apply a range of GIS analysis tools, including spatial overlays, point-in-polygon analysis and spatial joins.
• Be aware of other types of GIS analysis and where they could be used
• Be confident at applying the skills to their own data sets

Presenter

David Partridge, BSc, PgDip

David (Dave) Partridge is a GIS Course leader who has worked for the Dartmoor National Park. He delivers GIS Courses around the country for students, public and private institutions.

Target Audience

By the end of the course you will be confident at importing and processing spatial data from a variety of sources, and have the knowledge to apply these skills to your own data sets. We will have some dedicated time towards the end of the course for you to apply the skills you have learnt to your own data sets.

It is recommended that you have some previous experience of working with spatial data, ideally using QGIS. Attendance at Clear Mapping Co’s Introduction to QGIS: Understanding and Presenting Spatial Data course would be fine, or another course covering similar material. Please contact Nick Bearman (nick@clearmapping.co.uk) for more details if you are unsure whether you have sufficient experience.

Provisional event outline

• 10:00am – 10:15am – Registration & Refreshments
• 10:15am - 10:45am – Recap of GIS, joining and spatial data types
• 10:45am - 11:15am – Practical 1: Recap of Loading, Joining and Symbolising Data
• 11:15am - 11:45am – Finding, using and evaluating data
• 11:45am - 12:30pm – Practical 2: Swansea & Cardiff: Crime, Houses Prices and Flooding
• 12:30pm - 1:30pm – Lunch
• 1:30pm - 1:45pm – Recap and Analysis
• 1:45pm - 3:00pm – Practical 3: Cardiff: LSOAs, IMD & Greenspace
• 3:00pm - 3:15pm – Tea/Coffee
• 3:15pm - 4pm/4:30pm – Practical 4: Applying analysis to 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:

https://store.southampton.ac.uk/short-courses/southampton-statistical-sciences-research-s3ri/adrce

Region:

Greater London

Keywords:

Spatial Data Analysis, Geographical Information System (GIS), Spatial data, QGIS, exploratory data analysis, spatial autocorrelation, spatial data analysis, map, mapping, clustering, spatial overlays, point-in-polygon analysis and spatial joins

Related publications and presentations:

Spatial Data Analysis
Geographical Information System (GIS)

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