Evaluating Geographical Accessibility using GIS and Spatial Modelling

Description:

This 2-day course, delivered in-person, introduces participants to a range of measures of geographical accessibility, utilising examples of everyday services such as healthcare facilities and retail stores.

This hands-on course considers a range of spatial analysis tools and techniques which can be used to capture measures of geographical accessibility at a range of spatial scales. It uses freely available datasets and tools to equip participants with the skills and understanding to incorporate geographical accessibility within their research and analysis. These include measures of proximity to healthcare, network-based measures of accessibility to everyday services and composite measures of neighborhood accessibility to food stores.

We also consider modelling tools that can be used to optimise the location of facilities in order to maximise coverage and accessibility and consider sources of powerful routing and travel time data which can be used to enhance measures of geographical accessibility. The course concludes with a more self-directed and open-ended activity in which participants can put into practice skills and understanding from the course, with support and advice from fellow participants and the course tutor.

This course is suitable for researchers, analysts and policy makers who have some familiarity with spatial data - for example those who have worked with data related to small areas or neighbourhoods. It would be helpful if all participants have some experience in using a GIS for basic spatial data visualization or analysis, but this is not essential, all concepts and techniques will be taught form first principles. The tools we use are all menu-driven and comprehensive guidance notes are provided to all participants alongside hands-on support.

This course will be delivered in-person - participants should bring their own laptop and will require access to Microsoft Excel and QGIS. QGIS is an open source desktop GIS system which works on Windows and Mac operating systems. It is available via a free download from https://www.qgis.org/en/site/forusers/download.html.

Prior to the course, further information will be provided to registered participants to ensure that all participants have access to the required software

Cost:

The fee per teaching day is: • £35 per day for students registered at University. • £70 per day for staff at academic institutions, Research Councils researchers, public sector staff and staff at registered charity organisations and recognised research institutions. • £250 per day for all other participants All fees include event materials and morning and afternoon refreshments. Fees do not include travel and accommodation costs. In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:

https://go.soton.ac.uk/eyw

Region:

North West

Keywords:

Quantitative Data Handling and Data Analysis, Statistical Theory and Methods of Inference, Small Area Estimation, Spatial Data Analysis

Related publications and presentations:

Quantitative Data Handling and Data Analysis
Statistical Theory and Methods of Inference
Small Area Estimation
Spatial Data Analysis

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