Training and Events
Spatial Modelling for Retail Analytics
|Consumer Data Research Centre (University of Leeds)|
Drs Andy Newing and Nick Hood
Leeds Institute for Data Analytics
View in Google Maps (LS2 9JT)
This one-day course introduces participants to sophisticated spatial analysis and spatial modelling approaches that can be used to understand retail sector dynamics. We focus on the analysis of complex interactions between retail demand (consumers) and the retail supply side (retail stores). The tools that we introduce are applied widely by the commercial retail sector and we reflect on the important link between academia and industry in the continual development of these modelling approaches. We introduce participants to statistical and spatial modelling using simulated data related to UK consumers. These include regression and powerful industry-standard spatial interaction (or gravity) modelling. The course is taught via a series of fully supported hands-on practical sessions, interspersed with short lectures and group activities. This provides an applied and theoretical perspective, with examples drawn from the UK but relevant in a number of international contexts.
This course follows on from a previous CDRC training course titled ‘Introduction to GIS and Spatial Analysis for Retail Applications’. Aside from a brief recap of key spatial analysis techniques and spatial data sources, this course teaches entirely new content. It is suitable for those who attended the introductory course and also those wanting a stand-alone course in retail modelling. Participants will leave with a clear practical awareness of model-based spatial analysis techniques commonly applied in retail analytics. Participants may also think differently about their own consumer behaviours having undertaken this course!
Who is this course suitable for?
This course is designed for participants who have some experience of spatial analysis using GIS, but no prior knowledge of statistical or spatial modelling is required. Participants are likely to be PhD students or researchers looking to use spatial modelling to enhance their analysis of retail/consumer data in. The course will signpost participants towards CDRC and freely available data resources which would enable them to extend these analysis in their subsequent work.
Course schedule (subject to minor change):
09.30 – 09.40: Welcome, introductions and housekeeping
09.40 – 10.00: Lecture – commercial sector retail analytics
10.00 – 10.30: Hands on practical 1: GIS and spatial analysis for retail modelling
10.30 – 11.00: Lecture: Regression principals
11.00 – 11.15: Break
11.15 – 11.45: Hands on practical 2: Regression basics
11.45 – 12.00: Lecture: Scorecard approaches
12.00 – 12.30: Hands on practical 3: Building a scorecard
12.30 – 12.45: Lecture: Reliability of statistical modelling results
12.45 – 13.30: Lunch
13.30 – 13.45: Small group activity – retail interactions
13.45 – 14.15: Lecture: Spatial interaction modelling
14.15 – 14.45: Hands on practical 4: Building a spatial interaction model
14.45 – 15.00: Break
15.00 – 15.30: Hands on practical 5: Calibrating a spatial interaction model
15.30 – 16.15: Group activity: Retail network planning
16.15 – 16.30: Wrap up –CDRC data sources
Entry (no or almost no prior knowledge)
Website and registration
Yorkshire and Humberside
Quantitative Data Handling and Data Analysis, ICT and Software, Research Skills, Communication and Dissemination
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