Introduction to Network Analysis in ArcGIS

Wednesday, 3rd August 2016
9:30am - 4:30pm (lunch break included)
Jura Teaching Lab, Level 4 Annexe, University of Glasgow LIbrary, Hillhead St, Glasgow G12 8QE

Network analysis is a particularly useful class of analysis, which can be performed with a Geographic Information System (GIS).

Network analysis allows us to analyse problems which are connected to the transportation of goods or people across a network. Using these methods we can consider questions such as: What is the shortest route between two points? What is the service area for a facility? Where should bus stops be placed along a route in order to maximise ridership? This course will cover how to get routing data, import it into ArcGIS and then perform analysis. This course builds on your existing GIS knowledge with a focus on network analysis for understanding spatial data and making informed, data-driven decisions that can be applied to urban planning and policymaking.

About the UBDC Summer Training Programme 2016

Introduction to Network Analysis in ArcGIS is one of eight short courses hosted by the Urban Big Data Centre at the University of Glasgow this August 2016. Following a successful trial of our training last summer, this year’s programme expands on the course offerings to provide training and skills development in wider areas of data analytics, data management and modelling as well as a new course on accessing UBDC’s variety of data services. We intend to schedule further training courses in the coming academic year and addition, offer one-off seminar and workshop events funded through the ESRC SASNet Programme. All of our courses are open to academic participants from any discipline as well as professionals from businesses, third sector, private organisations, local authorities, government departments etc.

If you would like to be updated of future courses when they are available, sign up for the UBDC email newsletter.

Important Information

  • The course is open to a wide variety of participants (researchers, students, practitioners)
  • All software packages needed for the course will be provided in the designated course lab
  • The course requires a minimum of 5 registered participants for delivery and has a maximum of 20 participants
  • All participants must ensure they meet the pre-requisite knowledge requirements stated in the course description
  • All participants must register - your place in the course is not final until you receive a confirmation email from our delegate registration service (