Dorling, D.:
The Visualisation of Spatial Social Structure. 2nd. Aufl. Hoboken: John Wiley & Sons, 2012Wiley Series in Computational and Quantitative Social Science
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How do you draw a map of 100,000 places, of more than a million flows of people, of changes over time and space, of different kinds of spaces, surfaces and volumes, from human travel time to landscapes of hopes, fears, migration, manufacturing and mortality? How do you turn the millions of numbers concerning some of the most important moments of our lives into images that allow us to appreciate the aggregate while still remembering the detail? The visualization of spatial social structure means, literally, making visible the geographical patterns to the way our lives have come to be s.
Dorling, D.:
So You Think You Know About Britain?. London: Constable & Robinson, 2011
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When it comes to immigration, the population explosion, the collapse of the family, the north-south divide, devolution, or the death of the countryside, common wisdom tells us that we are in trouble; however, this is far from the truth. In his brilliant anatomy of contemporary Britain, leading geographer Daniel Dorling dissects the nation and reveals unexpected truths about the way we live today, contrary to what you might read in the news: The human mosaic: Most children who live above the fourth floor of tower blocks in England are Black or Asian. The higher you go in a building, the darker
Goodwin, J.; Dolbear, C. & Hart, G.: Geographical Linked Data: The Administrative Geography of Great Britain on the Semantic Web. In:
Transactions in GIS 12 (2008), S. 19-30
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Ordnance Survey, the national mapping agency of Great Britain, is investigating how semantic web technologies assist its role as a geographical information provider. A major part of this work involves the development of prototype products and datasets in RDF. This article discusses the production of an example dataset for the administrative geography of Great Britain, demonstrating the advantages of explicitly encoding topological relations between geographic entities over traditional spatial queries. We also outline how these data can be linked to other datasets on the web of linked data and some of the challenges that this raises.