Training and Events
Applied GIS: social science applications
|University of Manchester|
Dr Andy Newing
26/04/2016 - 27/04/2016
View in Google Maps (M13 9PL)
Claire Spencer, 0161 275 1980, email@example.com
This course is aimed at researchers who have some familiarity with spatial data and GIS software functionality. This two day course uses a series of accessible hands-on practicals and supporting lectures to introduce participants to a series of more advanced spatial analysis functions and tools within a GIS. We work primarily with vector data (points, lines, polygons and networks) to gain familiarity with GIS tools and techniques used for applied research within the social sciences. Specifically we will introduce spatial clustering, measures of proximity and access, network analysis, construction of service areas and evaluation of facility or service locations, via a series of research questions which could applied in many research contexts. We use ESRIs ArcGIS industry standard proprietary GIS software, widely used by the research community and commercial sector.
Throughout the practical activities we make extensive use of a dataset related to voter turnout (whether an individual voted or not) for the 2005 general election. The data are related to an individual constituency (Withington, Greater Manchester). We work with point data related to individual voters (by home postcode) and neighbourhood data using wards and Output Areas, to which sociodeomographic and geodemographic data can be attached. We also use polling station locations and the underlying road network, introducing participants to a full range of data types and formats used for applied research in the social sciences.
Whilst the scenarios being investigated are about variations in voter turnout, we emphasise that the approaches, questions, challenges and operational decisions are generic to these kinds of geographic analyses. Specifically, we will use these data to investigate:
This course will run from 11am-5pm on day one and 9am-3pm
Intermediate (some prior knowledge)
• £30 per day for UK/EU registered students
Website and registration
Spatial Data Analysis, Geographical Information System (GIS), Geodemographics, Cluster analysis, Quantitative Software, ArcGIS, GIS, ESRIs, ArcGIS
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