NCRM - Introduction to QGIS (few places remaining)
Date:
06/03/2019 - 08/03/2019
Organised by:
NCRM, University of Southampton
Presenter:
Caroline Robinson
Level:
Entry (no or almost no prior knowledge)
Contact:
Jacqui Thorp
Training and Capacity Building Co-ordinator
National Centre for Research Methods
Tel: 02380594069
Email: jmh6@soton.ac.uk
Map:
View in Google Maps (SO17 1BJ)
Venue:
University of Southampton, Building 39, Highfield, Southampton, Hants
Description:
Day 1
Missing Maps Day
If you’re looking for an Introduction to QGIS, this is the course for you. No previous experience of GIS or QGIS is required, we will be starting from scratch. We start by learning a little history of cartography and the difference between maps and charts. Then, we’ll start contributing to OpenStreetMap using a Missing Maps session. On day one we will introduce spatial data and provide step-by-step hands-on experience of how to create points, polylines and polygons online. We will demonstrate how to identify population, roads and tracks from aerial imagery to enable humanitarian organisations around the world to meet the needs of vulnerable people. At the end of each day there will be an opportunity to discuss your project and get one-to-one support.
Day 2
Intro to QGIS (Vectors) Day
We will introduce projections and spatial data for beginners. We will show how to import and display spatial data with the free open source GIS program QGIS. We will show you how to create choropleth maps and explain appropriate methods of visualising spatial data. The course will explain what projections are and why they are important when drawing your map. We will cover some basic spatial data analysis (e.g. calculating rates). You will get the opportunity to learn about what makes a good map and how to send your map to print. At the end of each day there will be an opportunity to discuss your project and get one-to-one support.
Day 3
Confident Spatial Analysis (Vectors) Day
Moving on from Introduction to QGIS we’ll be discovering how to use analytic tools with vector datasets. If you are looking to go beyond importing and displaying datasets then the Confident Spatial Analysis with Vector Datasets in QGIS course is for you. In this course we discuss how to use GIS to do vector analysis. We will be asking questions of the data in the map, manipulating and extracting knowledge from the data and solving problems using geospatial software.
We use practical examples to highlight how QGIS can be used for study and/or the workplace. We will bring together data from a range of sources and formats to study crimes and house prices in the UK. We will perform spatial overlay techniques such as clipping, classifying and performing point-in-polygon analysis to develop our understanding of how this data may be related. At the end of each day there will be an opportunity to discuss your project and get one-to-one support.
The course covers:
- projections and why they are important
- use our MissingMaps session contribute to OpenStreetMap
- learn about points, lines and polygons
- be able to set up QGIS and add data
- understand adding coordinate data
- join tabular data to spatial data
- undertake calculations
- understanding how to classify data
- create a publication-ready map
- learn how to use different types of vector datasets
- import scanned maps into GIS
- understand how to aggregate points in an area
- use buffers and overlaps to perform analysis
- get support with your project
By the end of the course participants will:
End of Day 1
Learning outcomes |
· be able to set-up HoT map interface
· register with OpenStreetMap
and gain points
· find out the difference between
vector and raster datasets
· understand how to edit
and classify data
· understand how to upload data
to OpenStreetMap
Benefits |
· gain an understanding of GIS
· have an overview of
humanitarian aid and why maps
are important
· understand the principles
behind GIS
· seek advice from lecturer
· collaborate with peers
· able to ask for feedback on existing projects
End of Day 2
Learning outcomes
· be able to set up QGIS and add data
· understand adding coordinate data
· join tabular data to spatial data
· undertake calculations
· understanding how to classify data
· create a publication-ready map
Benefits
· understand the basics of
map-making
· get an overview of projections
and why they are important
· use knowledge in QGIS to increase employabilty skill set
· apply techniques and migrate data to other GIS platforms
· seek advice from lecturer
· collaborate with peers
· able to ask for feedback on existing projects
End of Day 3
Learning outcomes
· understand how to use different
types of vector datasets
· import scanned maps into your GIS
· understand how to aggregate
points in an area
· use buffers and overlaps
to perform analysis
Benefits
· understand more tools for map-making
· gain an overview of statistics to be able to analyse data
· increase employability skill set using QGIS knowledge
· apply techniques and migrate data to other GIS platforms
· seek advice from lecturer
· collaborate with peers
· able to ask for feedback on existing projects
This course contains:
* Use of FREE OpenSource Software QGIS 3.2
* Use of OpenDatasets
* Most require little or no knowledge to start
* Use real-life exercises which can be applied to field of study or workplace
* Please download the latest most stable version of the software on to your own laptops to use before, during & after the course: http://bit.ly/2QJBWR0
Our courses are workshop-based with the focus on a practical learning outcomes.
Target Audience
Anyone can start this course with minimal understanding of geography and spatial data. We welcome students, governmental researchers, community leaders, those in SMEs and corporations. Learn how to do more with your tabular datasets, combine with spatial data and improve your results with better maps.
Preparatory Reading
Learning QGIS: Create great maps and perform geoprocessing tasks with ease 3rd Revised edition Edition, Anita Graser
QGIS Map Design by Anita Graser & Gretchen N Peterson
The course will run from 10:00 to 16:00 each day, starting a little earlier on Day 1 for registration.
Cost:
The fee per teaching day is:
• £30 per day for UK/EU registered students
• £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
• £220 per day for all other participants
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
Full refund is available 2 weeks prior to the course taking place, NO refunds are available after this date.
Website and registration:
Region:
South East
Keywords:
Spatial Data Analysis, Point pattern analysis, Area-based analysis, Geographical Information System (GIS), Geodemographics, Spatial distribution, Quantitative Software, Excel, QGIS
Related publications and presentations:
Spatial Data Analysis
Point pattern analysis
Area-based analysis
Geographical Information System (GIS)
Geodemographics
Spatial distribution
Quantitative Software
Excel