You are here:

Introduction to spatial interaction modelling

Presenter(s): Andy Newing


decorative image with NCRM logo

These online resources introduce you to Spatial Interaction Models (SIMs). SIMs are statistical models used to predict origin-destination flows. They are widely applied within geography, planning, transportation and the social sciences to predict interactions or flows related to commuting, migration, access to services etc. They are also widely applied across the commercial sector for example to model flows of consumers between home and retail centres with broad applications in commercial decision making and policy evaluation.

Spatial Interaction Modelling

This short video introduces you to Spatial Interaction Models (SIMs) within the context of social sciences research. No prior knowledge of SIMs are required as we use a straightforward and intuitive example based on modelling flows of consumers between their homes and retail stores. We use this example to outline the nature of spatial interaction and some of the theoretical considerations underpinning these models. We make use of accompanying online resources, including a PDF document (introduced fully within the video) which you can use to consider some of the underlying concepts.



   Download transcript    |   Download slides [ 5293 Views ]



Supporting materials
Videos of related topics and presenters

About the author

Andy is a Lecturer in Retail Geography based in the Centre for Spatial Analysis and Policy (CSAP)at the University of Leeds. Andy carries out applied high impact research in collaboration with commercial and public sector organisations. Research interests include spatial and quantitative analysis for retail location planning and analytics, consumer data analysis, health service delivery, census/neighbourhood analysis, geodemographics, household energy, transport and urban planning. Andy is part of the Consumer Data Research Centre and also the Leeds Institute for Data Analytics. Andy delivers NCRM face to face training in Geographical Information Systems, Spatial Interaction Modelling and Population

Primary author profile page


⌃
BACK TO TOP