Welcome: GEOgraphical REFERencing resources for social scientists  Explore this resource

GEOgraphical REFERencing resources for social scientists  Explore this resource

This ESRC project involves the creation and deployment of a digital library of learning resources targeted at social scientists whose primary discipline is not geography, but whose research requires them to use and link geographically referenced data. Geographical location provides a key mechanism for linkage between sources, for example between individual-level survey responses or health records and existing secondary data such as that provided by the census of population. Further examples include sets of data for incompatible areal units and primary data collection using the global positioning system. More

Authors

The original authors of the Geo-Refer resource were David Martin, Samantha Cockings and Samuel Leung at the School of Geography, University of Southampton.

Original Project

The original work was undertaken as part of two awards funded under ESRC's Researcher Development Initiative. These were "Geo-Refer: Georeferencing Resources for Social Scientists" (PTA-035-25-0029, 1 Feb 2006-31 Jan 2008) and "Geo-Refer 2: Meeting Community-Speicific Research Needs in Geographical Referencing" (RES-035-25-0047, 1 Feb 2008-31 Dec 2008). The projects involved development of online learning materials designed to help social scientists understand geographical referencing issues such as geographical data linkage and mapping. The online materials were designed to be reusable, updatable, and conform to the main educational technology interoperability standards. In addition to authoring these online resources, the project team also delivered geographical referencing workshops in various locations to assist researchers from a range of disciplines with their georeferencing tasks. Workshop presentations are included within the online resource. For more details please see

Quick Summary

A set of modular online learning resources covering geographical data linkage and mapping, mainly focused on the UK and dealing with census, postcode and administrative geographies, deprivation indicators and other major geographically-referenced datasets. The resources are highly modular and organized into four classes: concepts, methodology, data and exemplar applications. The materials demonstrate the use of common office software, ArcGIS and SASPAC. In addition to browsing through the detailed content, the site features a user profile form which assists users to profile their own learning needs and returns customised tutorial sequences through the four classes of resources relevant to their own work, accompanied by relevant examples.

Date of Restoration

This web resource has been fully restored into ReStore repository on 05/12/2008